REVIEW 1 major objections 5 minor 63 references
Precision measurement of the longitudinal double-spin asymmetry for dijet production at intermediate pseudorapidity in polarized $pp$ collisions at $\sqrt{s}$ = 200 GeV
T0 review · 1 major / 5 minor · reviewed 2026-08-12 · deepseek-v4-flash
Pith's one-line read The STAR Collaboration finds that the JAM22 negative-gluon-polarization solution is disfavored at the 3.5 sigma level by a new precision measurement of the dijet double-spin asymmetry at intermediate pseudorapidity in 200 GeV polarized…
desk verdict A careful 2015 STAR dijet A_LL measurement, but the headline 3.5 sigma disfavor of the JAM22 negative-gluon solution is built on a chi-square conversion that does not hold up. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The carrying object is the longitudinal double-spin asymmetry $A_{LL} = (\sigma^{++} - \sigma^{+-})/(\sigma^{++} + \sigma^{+-})$, measured as a function of the dijet invariant mass. At leading order the dijet mass and the pseudorapidity sum of the two jets give $M = \sqrt{s x_1 x_2}$ and $\eta_3 + \eta_4 = \ln(x_1/x_2)$, so the endcap topology selects collisions in which a high-$x$ valence quark meets a low-$x$ gluon. Because the TPC tracking efficiency falls sharply in the endcap, the analysis uses a Multilayer Perceptron (a neural-network regression) trained on PYTHIA Perugia 2012 plus GEANT3 simulations to correct each jet's $p_T$ and mass, and applies a particle-to-parton mass shift from the same simulation to place the measured $A_{LL}$ at the parton-level dijet mass. A trigger and reconstruction bias correction computed from 100 NNPDFpol1.1 replicas is subtracted from the raw asymmetry, and the JAM22 comparison is made with a $\chi^2$ that folds in the three dominant correlated systematics.
What would settle it
Rerun the JAM22 global fit including the STAR 2015 intermediate-pseudorapidity dijet data while keeping the negative-gluon solution: if the fit still yields an acceptable $\chi^2$ under the same correlated-systematics treatment, the 3.5-$\sigma$ exclusion is not robust. A second, more direct check is to recompute the parton-level dijet mass using a data-driven endcap tracking-efficiency correction instead of the PYTHIA-trained neural network; if the resulting $A_{LL}$ points move by more than the quoted systematic uncertainty, the comparison against JAM22 would need revision.
Extended reading notes
Core claim
The central claim is that the gluon helicity distribution $\Delta g(x)$ is positive in the $x$ range 0.01 to 0.5, and that the alternative negative solution found in the JAM22 global analysis is excluded. The paper establishes this by measuring $A_{LL}$ as a function of parton-level dijet invariant mass for three dijet topologies (east Barrel--Endcap, west Barrel--Endcap, and Endcap--Endcap), combining the 2009 and 2015 STAR data. A $\chi^2$ test that accounts for correlated uncertainties from relative luminosity, dijet energy scale, and beam polarization gives an average $\chi^2$ of 20.4 for 20 degrees of freedom for the positive JAM22 solution and 32.7 for the negative one, corresponding to a 3.5-$\sigma$ disfavoring of the negative solution. The paper further notes that in the negative-gluon scenario the gluon-gluon subprocess would need a negative opposite-helicity cross section at high dijet mass, which is the feature the data reject.
Load-bearing premise
The result assumes that the PYTHIA Perugia 2012 tune (with energy-scale parameter PARP(90)=0.213) combined with the GEANT3 detector simulation faithfully reproduces the reduced tracking efficiency in the endcap and the particle-to-parton relation; if that simulation is biased, the parton-level $A_{LL}$ values could shift.
Editorial extensions
If this is right
- The 2015 data, when combined with the 2009 points, give the most precise $A_{LL}$ measurement to date for dijets with an endcap jet at 200 GeV, with sensitivity extending down to $x \sim 0.01$.
- Incorporating these results into global QCD analyses should reduce the uncertainty on the integrated gluon helicity contribution without significantly shifting its central value.
- The JAM22 negative-gluon solution, which violates the positivity bound $|\Delta f_i| \le f_i$, is now excluded at 3.5 sigma by direct dijet data, strengthening the case that positivity-breaking negative solutions cannot describe RHIC spin data.
- The result closes a loop opened by the 2022 JAM22 analysis, which had shown that inclusive-jet $A_{LL}$ data alone could not distinguish opposite-sign gluon solutions.
Reading between the lines
- If the exclusion is robust, one can translate the measured $A_{LL}$ into a quantitative lower bound on the truncated moment of $\Delta g(x)$ over $0.01 < x < 0.5$; the paper does not quote such a bound directly from this dataset.
- A future measurement at $\sqrt{s}=510$ GeV with forward endcap coverage could push the same technique to $x$ below 0.01, testing whether the positive sign persists where the gluon density is large.
- The strength of the 3.5-sigma exclusion depends on the JAM22 fit's scale choices and on the NLO dijet calculation; repeating the comparison with a different NLO framework or with the DSSV14 uncertainty band would reveal how much of the significance is tied to the JAM22 model.
- The positivity-violating feature of the negative solution could be probed directly: a dedicated measurement of the gluon-gluon subprocess fraction in the high-mass endcap bins would provide an independent check of whether $\sigma^{+-}$ for gluon-gluon scattering is truly negative there.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper reports STAR measurements of the longitudinal double-spin asymmetry A_LL for dijet production with at least one jet at intermediate pseudorapidity (0.8 < eta_jet < 1.8) in polarized proton-proton collisions at sqrt(s) = 200 GeV using the 2015 data set (52 pb^-1). Dijets are reconstructed with the anti-kT algorithm (R = 0.6), and dedicated corrections are applied for tracking inefficiencies (ML-based pT and mass regressions), underlying event, trigger bias, and reconstruction bias. The final A_LL values are presented as a function of parton-level dijet invariant mass for three topologies and are compared with the earlier 2009 STAR measurement and with NLO pQCD predictions using DSSV2014, NNPDFpol1.1, and JAM22 positive/negative gluon polarization sets. The data agree with the 2009 results and with positive-gluon predictions, while the JAM22 negative-gluon solution is reported to be disfavored at the 3.5 sigma level.
Significance. If the measurement and its interpretation are sound, this result provides a new, more precise constraint on the gluon helicity distribution in the x range from about 0.01 to 0.5, specifically through dijet topologies that are sensitive to low-x gluons. The analysis is thorough in its treatment of detector effects: the trigger thresholds, machine-learning jet corrections, underlying event subtraction, and reconstruction bias are each addressed with dedicated systematic studies, and the agreement with the earlier 2009 data supports the consistency of the experimental procedure. The paper also provides correlation matrices that will be useful for future global QCD analyses. However, the headline claim that the JAM22 negative-gluon solution is disfavored at 3.5 sigma is not supported by the statistical evidence presented in the manuscript, and this claim is central to the abstract and conclusions.
major comments (1)
- [VII.A, Eq. (7)] The comparison with the JAM22 solutions is performed with the data and theory both at parton level, but the particle-to-parton mass shift used to place the data points relies on the PYTHIA Perugia 2012 tune and the same simulation used to train the ML corrections (Sec. VI.A). The systematic studies in Sec. VI.C.2 cover a range of alternative tunes, which is good, but the manuscript does not state whether the spread of the particle-to-parton mass shift across the alternative tunes is included in the x-axis systematic uncertainties used in the chi2 test of Eq. (7). If this shift is correlated with the theory curve, the beta2 term in Eq. (7) may not capture the full uncertainty. Please clarify that the tune-dependent mass shifts are indeed propagated into the beta2 (dijet energy scale) uncertainty, or provide the corresponding additional uncertainty.
minor comments (5)
- [Eq. (3)] The printed formula for A_LL in Eq. (3) appears to be missing the division sign: as typeset, "ALL = P(PY PB)(N ++ - rN +-)P(PY PB)2(N ++ + rN +-)" is not a valid expression. The correct form should be the ratio (N++ - rN+-)/(N++ + rN+-) multiplied by 1/(P_Y P_B).
- [Abstract and Sec. VIII] The abstract and summary state that the negative gluon polarization solution is "strongly disfavored," while Sec. VII.A reports a 3.5 sigma disfavor. Once the significance is properly computed, the wording should be aligned with the quantitative result.
- [Sec. IV.B] The pseudorapidity bounds for endcap jets are given inconsistently: the text uses 0.8 < eta_jet < 1.8 in some places and 0.8 <= eta_jet <= 1.8 in others. Please use a consistent convention.
- [Fig. 2 and Fig. 3 labels] The figure labels "Jet + Jet + X -> p + p" should read "p + p -> Jet + Jet + X" to reflect the physical process.
- [Sec. VII.A] The statement that the 2009 and 2015 data are "combined by average weighting" is vague. Please specify the weights and how the correlated systematic uncertainties (including the relative luminosity and polarization scale uncertainties) are handled in the combination, since these enter the chi2 test of Eq. (7).
Circularity Check
No significant circularity: the STAR dijet A_LL measurement is an independent experimental result, and the central JAM22 comparison is not built from the model being tested.
full rationale
This paper reports a measurement rather than a derivation, and no load-bearing step reduces by construction to its inputs. The only model-dependent data-reduction step is the trigger and reconstruction bias correction (Sec. VI.B), in which NNPDFpol1.1 polarized PDFs are used to compute ΔA_LL = A_det_LL − A_parton_LL and subtract it from the raw asymmetry. That correction is small (0.0005–0.0026, about 10% of the measured asymmetries), is not fitted to the data, and does not define the final asymmetry; the JAM22 negative-gluon solution discussed in Sec. VII.A is not used in the correction, so the central disfavor claim is not equivalent to the correction input. STAR's reuse of its own previous analyses for jet reconstruction, underlying-event subtraction, and systematic methodology is procedural and not load-bearing. The paper's 3.5σ statement is based on average replica χ² values (20.4 vs 32.7 for 20 degrees of freedom) without showing the conversion to a significance; that is a missing justification for the statistical claim, but it is not a circularity. No passage asserts a limitation that would indicate the result is defined by its inputs.
Assumptions & free parameters
free parameters (4)
- PYTHIA PARP(90) =
0.213
- MLP network configuration for jet pT and mass corrections =
not specified (varied for systematics)
- Jet resolution parameter R =
0.6
- Leading and subleading jet pT thresholds =
8.0 and 6.0 GeV/c
assumptions (5)
- domain assumption QCD factorization and NLO pQCD describe dijet production and A_LL in polarized pp collisions.
- domain assumption The global PDF sets DSSV2014, NNPDFpol1.1, and JAM22 are reliable inputs for the theory calculations.
- domain assumption PYTHIA Perugia 2012 with PARP(90)=0.213 and GEANT3 embedded in zero-bias data accurately simulate the detector response, track inefficiency, and underlying event.
- domain assumption The NNPDFpol1.1-based trigger and reconstruction bias correction does not introduce a significant model-dependent bias in the final A_LL.
- domain assumption It is meaningful to compare data with JAM22 PDFs that violate positivity and yield negative cross sections in some kinematic regions.
Cite this review
Pith. "Pith review of Precision measurement of the longitudinal double-spin asymmetry for dijet production at intermediate pseudorapidity in polarized $pp$ collisions at $\sqrt{s}$ = 200 GeV." pith.science (2026). https://pith.science/paper/BZQ2CI4K
@misc{pith2026241118976,
author = {Pith},
title = {Pith review of: Precision measurement of the longitudinal double-spin asymmetry for dijet production at intermediate pseudorapidity in polarized $pp$ collisions at $\sqrts$ = 200 GeV},
year = {2026},
howpublished = {\url{https://pith.science/paper/BZQ2CI4K}},
note = {Machine review of arXiv:2411.18976}
}
abstract
The STAR Collaboration reports precise measurements of the longitudinal double-spin asymmetry, $A_{LL}$, for dijet production with at least one jet at intermediate pseudorapidity $0.8 < \eta_{\rm jet} < 1.8$ in polarized proton-proton collisions at a center-of-mass energy of 200 GeV. This study explores partons scattered with a longitudinal momentum fraction ($x$) from 0.01 to 0.5, which are predominantly characterized by interactions between high-$x$ valence quarks and low-$x$ gluons. The results are in good agreement with previous measurements at 200 GeV with improved precision and are found to be consistent with the predictions of global analyses that find the gluon polarization to be positive. In contrast, the negative gluon polarization solution from the JAM Collaboration is found to be strongly disfavored.
Figures
Figures from the paper (4 more)
Reference graph
Works this paper leans on
-
[1]
Dijet energy scale systematic uncertainties The primary source of the systematic uncertainty in the reconstructed dijet mass arises from the uncertainty in the jet energy scale. The jet energy scale uncertainties consist of two parts: one from the scale and status uncer- tainties of the EMC towers (3.5% for BEMC and 4.6% for EEMC), and the other from the ...
work page 2015
-
[2]
E. R. Nocera, R. D. Ball, S. Forte, G. Ridolfi, and J. Rojo (NNPDF), Nucl. Phys. B887, 276 (2014), arXiv:1406.5539 [hep-ph]
arXiv 2014
-
[3]
Systematic uncertainties on machine learning correction Corrections to jet transverse momentum and invariant mass in this analysis were conducted using the MLP, a machine learning technique known for its adaptability to complex nonlinear data relationships. Given the MLP’s sensitivity to its configuration, such as the number of layers and nodes, we consid...
-
[4]
Consequently, this phenomenon in- troduces distortions to the measured dijet invariant mass
Underlying event systematic uncertainties The presence of the underlying event in hadronic inter- actions results in a systematic increase in the energy scale of the jets composed solely from showers arsing from only the hard scattering. Consequently, this phenomenon in- troduces distortions to the measured dijet invariant mass. As already discussed in Se...
work page 2009
-
[5]
R. L. Jaffe and A. Manohar, Nucl. Phys. B337, 509 (1990)
1990
-
[6]
D. de Florian, R. Sassot, M. Stratmann, and W. Vogelsang, Phys. Rev. Lett.113, 012001 (2014), arXiv:1404.4293 [hep-ph]
arXiv 2014
- [7]
-
[8]
B. I. Abelevet al.(STAR), Phys. Rev. Lett.97, 252001 (2006), arXiv:hep-ex/0608030
arXiv 2006
Show all 63 references
-
[9]
B. I. Abelevet al.(STAR), Phys. Rev. Lett.100, 232003 (2008), arXiv:0710.2048 [hep-ex]
2008 arXiv
-
[10]
Adamczyket al.(STAR), Phys
L. Adamczyket al.(STAR), Phys. Rev. D86, 032006 (2012), arXiv:1205.2735 [nucl-ex]
2012 arXiv
-
[11]
Adamczyket al.(STAR), Phys
L. Adamczyket al.(STAR), Phys. Rev. Lett.115, 092002 (2015), arXiv:1405.5134 [hep-ex]
2015 arXiv
-
[12]
B. I. Abelevet al.(STAR), Phys. Rev. D80, 111108 (2009), arXiv:0911.2773 [hep-ex]
2009 arXiv
-
[13]
Adamczyket al.(STAR), Phys
L. Adamczyket al.(STAR), Phys. Rev. D89, 012001 (2014), arXiv:1309.1800 [nucl-ex]
2014 arXiv
-
[14]
Adareet al.(PHENIX), Phys
A. Adareet al.(PHENIX), Phys. Rev. D79, 012003 (2009), arXiv:0810.0701 [hep-ex]
2009 arXiv
-
[15]
Adareet al.(PHENIX), Phys
A. Adareet al.(PHENIX), Phys. Rev. Lett.103, 012003 (2009), arXiv:0810.0694 [hep-ex]
2009 arXiv
-
[16]
Adareet al.(PHENIX), Phys
A. Adareet al.(PHENIX), Phys. Rev. D90, 012007 (2014), arXiv:1402.6296 [hep-ex]
2014
- [17]
-
[18]
Adamczyket al.(STAR), Phys
L. Adamczyket al.(STAR), Phys. Rev. D95, 071103 (2017), arXiv:1610.06616 [hep-ex]
2017 arXiv
-
[19]
Adamet al.(STAR), Phys
J. Adamet al.(STAR), Phys. Rev. D98, 032011 (2018), arXiv:1805.09742 [hep-ex]
2018 arXiv
-
[20]
de Florian, G
D. de Florian, G. A. Lucero, R. Sassot, M. Stratmann, and W. Vogelsang, Phys. Rev. D100, 114027 (2019), arXiv:1902.10548 [hep-ph]
2019 arXiv
-
[21]
Adamet al.(STAR), Phys
J. Adamet al.(STAR), Phys. Rev. D100, 052005 (2019), arXiv:1906.02740 [hep-ex]
2019
-
[22]
M. S. Abdallahet al.(STAR), Phys. Rev. D105, 092011 (2022), arXiv:2110.11020 [hep-ex]
2022
-
[23]
Adamet al.(STAR), Phys
J. Adamet al.(STAR), Phys. Rev. D98, 032013 (2018), arXiv:1805.09745 [hep-ex]
2018 arXiv
-
[24]
Adareet al.(PHENIX), Phys
A. Adareet al.(PHENIX), Phys. Rev. D93, 011501 (2016), arXiv:1510.02317 [hep-ex]
2016
-
[25]
U. A. Acharyaet al.(PHENIX), Phys. Rev. D102, 032001 (2020), arXiv:2004.02681 [hep-ex]
2020
-
[26]
Acharyaet al.(PHENIX), Phys
U. Acharyaet al.(PHENIX), Phys. Rev. Lett.130, 251901 (2023), arXiv:2202.08158 [hep-ex]
2023
-
[27]
M. S. Abdallahet al.(STAR), Phys. Rev. D103, L091103 (2021), arXiv:2103.05571 [hep-ex]
2021
-
[28]
Y. Zhou, N. Sato, and W. Melnitchouk (JAM), Phys. Rev. D105, 074022 (2022), arXiv:2201.02075 [hep-ph]
2022 arXiv
-
[29]
Vogelsang, in25th International Spin Physics Sym- posium (SPIN 2023)(2023)
W. Vogelsang, in25th International Spin Physics Sym- posium (SPIN 2023)(2023)
2023
-
[30]
N. T. Hunt-Smith, C. Cocuzza, W. Melnitchouk, N. Sato, A. W. Thomas, and M. J. White (JAM), (2024), arXiv:2403.08117 [hep-ph]
2024 arXiv
-
[31]
Huanget al., Nucl
H. Huanget al., Nucl. Phys. A721, 356 (2003)
2003
-
[32]
Zelenskiet al., Nucl
A. Zelenskiet al., Nucl. Instrum. Meth. A536, 248 (2005)
2005
-
[33]
K. H. Ackermannet al.(STAR), Nucl. Instrum. Meth. A 499, 624 (2003)
2003
-
[34]
Andersonet al., Nucl
M. Andersonet al., Nucl. Instrum. Meth. Phys. Res. A 499, 659 (2003), arXiv:nucl-ex/0301015 [nucl-ex]
2003 arXiv
-
[35]
Beddoet al.(STAR), Nucl
M. Beddoet al.(STAR), Nucl. Instrum. Meth. A499, 725 (2003)
2003
-
[36]
C. E. Allgoweret al.(STAR), Nucl. Instrum. Meth. A 499, 740 (2003)
2003
-
[37]
W. J. Llopeet al., Nucl. Instrum. Meth. Phys. Res. A 759, 23 (2014), arXiv:1403.6855 [physics.ins-det]
2014 arXiv
-
[38]
Adler, A
C. Adler, A. Denisov, E. Garcia, M. J. Murray, H. Stro- bele, and S. N. White, Nucl. Instrum. Meth. Phys. Res. A470, 488 (2001), arXiv:nucl-ex/0008005 [nucl-ex]
2001 arXiv
-
[39]
W. B. Schmidkeet al.(RHIC Polarimetry Group), Re- port No. BNL-209057-2018-TECH (2018)
2018
-
[40]
Sjostrand, S
T. Sjostrand, S. Mrenna, and P. Z. Skands, J. High En- ergy Phys.05, 026 (2006), arXiv:hep-ph/0603175 [hep- ph]
2006 arXiv
-
[41]
P. Z. Skands, Phys. Rev. D82, 074018 (2010), arXiv:1005.3457v5 [hep-ph]
2010 arXiv
-
[42]
Adamset al.(STAR), Phys
J. Adamset al.(STAR), Phys. Lett. B616, 8 (2005), arXiv:nucl-ex/0309012 [nucl-ex]
2005 arXiv
-
[43]
Agakishievet al.(STAR), Phys
G. Agakishievet al.(STAR), Phys. Rev. Lett.108, 072302 (2012), arXiv:1110.0579 [nucl-ex]
2012 arXiv
-
[44]
Abdallahet al.(STAR), Phys
M. Abdallahet al.(STAR), Phys. Rev. D104, 052007 (2021), arXiv:2103.13286 [hep-ex]
2021
-
[45]
Adamet al.(STAR), Phys
J. Adamet al.(STAR), Phys. Lett. B811, 135846 (2020), arXiv:2003.02114 [hep-ex]
2020
-
[46]
Adamet al.(STAR), Phys
J. Adamet al.(STAR), Phys. Rev. D101, 052004 (2020), arXiv:1912.08187 [nucl-ex]
2020
-
[47]
Abdallahet al.(STAR), Phys
M. Abdallahet al.(STAR), Phys. Rev. D106, 072010 (2022), arXiv:2205.11800 [hep-ex]
2022
-
[48]
R. Brun, F. Bruyant, M. Maire, A. C. McPherson, and P. Zanarini, GEANT3 Report No. CERN-DD-EE-84-1 (1987), http://inspirehep.net/record/252007
1987
-
[49]
Cacciari, G
M. Cacciari, G. P. Salam, and G. Soyez, Eur. Phys. J. C72, 1896 (2012), arXiv:1111.6097 [hep-ph]
2012 arXiv
- [51]
-
[52]
Cacciari and G
M. Cacciari and G. P. Salam, Phys. Lett. B659, 119 (2008), arXiv:0707.1378 [hep-ph]
2008 arXiv
-
[53]
H. Voss, A. Hocker, J. Stelzer, and F. Tegenfeldt, PoS ACA T, 040 (2007)
2007
-
[54]
N. S. Craigie, K. Hidaka, M. Jacob, and F. M. Renard, Phys. Rept.99, 69 (1983)
1983
-
[55]
Mukherjee and W
A. Mukherjee and W. Vogelsang, Phys. Rev. D86, 094009 (2012), [Erratum: Phys.Rev.D 107, 119901 (2023)], arXiv:1209.1785 [hep-ph]
2012 arXiv
-
[56]
de Florian, S
D. de Florian, S. Frixione, A. Signer, and W. Vogelsang, Nucl. Phys. B539, 455 (1999), arXiv:hep-ph/9808262
1999 arXiv
-
[57]
A. D. Martin, W. J. Stirling, R. S. Thorne, and G. Watt, Eur. Phys. J. C63, 189 (2009), arXiv:0901.0002 [hep-ph]
2009 arXiv
-
[58]
R. D. Ball, V. Bertone, S. Carrazza, L. Del Deb- bio, S. Forte, A. Guffanti, N. P. Hartland, and J. Rojo (NNPDF), Nucl. Phys. B877, 290 (2013), arXiv:1308.0598 [hep-ph]
2013 arXiv
-
[59]
Altarelli, S
G. Altarelli, S. Forte, and G. Ridolfi, Nucl. Phys. B534, 277 (1998), arXiv:hep-ph/9806345
1998 arXiv
-
[60]
de Florian, S
D. de Florian, S. Forte, and W. Vogelsang, Phys. Rev. 19 TABLE II. Correlation matrix, Column: bins 23-29 represent the 7 mid-rapidity dijet invariant mass points from the same-sign topology (Sign(η1) =Sign(η 2)) and bins 30-36 represent the 7 dijet points from the opposite-si...
2024 arXiv
-
[61]
Frixione, Z
S. Frixione, Z. Kunszt, and A. Signer, Nucl. Phys. B 467, 399 (1996), arXiv:hep-ph/9512328
1996 arXiv
-
[62]
Frixione and G
S. Frixione and G. Ridolfi, Nucl. Phys. B507, 315 (1997), arXiv:hep-ph/9707345
1997 arXiv
-
[63]
Frixione, Nucl
S. Frixione, Nucl. Phys. B507, 295 (1997), arXiv:hep- ph/9706545
1997
-
[64]
Stump, J
D. Stump, J. Pumplin, R. Brock, D. Casey, J. Huston, J. Kalk, H. L. Lai, and W. K. Tung, Phys. Rev. D65, 014012 (2001), arXiv:hep-ph/0101051
2001 arXiv
Reviewed August 12, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.