Citation notice #5011 · 2026-07-11 03:19:08.722131+00:00
A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS
Correction
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cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python, which carries a correction notice dated 2020-03-04. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
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01Evidence
Raw extraction · bibliography line · bibliography index 43
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al. SciPy 1.0: Fundamental algorithms for scientific com- puting in Python.Nature Methods, 17:261–272, 2020. doi: 10.1038/s41592-019-0686-2. 20 Supplementary Information Parser benchmark prompt list The supplementary parser prompt list for the paper-facing set contains the 15 parser benchmark prompts only: 10 accept cases spanning the five physics classes used in the paper, together with 2 ambiguous prompts and 3 invalid prompts. Table S1: Parser benchmark prompts used in the paper-facing benchmark set. Case ID Category Target class Prompt summary parser_01_linear_cantileve r_informal accept linear_elasticitySteel cantilever, 250 mm long and 25 mm wide, left end clamped, 750 N downward tip load. parser_02_linear_mixed_uni ts_plate_hole accept linear_elasticityAluminum plate with mixed units, centered 6 mm hole, left edge clamped, 50 MPa tension on the right. parser_03_hyper_block_shea r accept hyperelasticity 3D rubber block, bottom fixed, top pushed 5 mm in shear with large deformation expected. parser_04_hyper_silicone_g asket accept hyperelasticitySilicone gasket compressed 25% between rigid plates. parser_05_plastic_coupon_d
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1038/s41592-019-0686-2
- Notice DOI
- 10.1038/s41592-020-0772-5
- Date
- 2020-03-04
- Title
- Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python
- Reasons
- ['Correction']
- Work
- SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python (2020) Nature Methods
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