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Reference changes · DOI

Assessing Biases, Relaxing Moralism:

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

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Correction Crossref 1 open · 1 total · 0 disputed
DOI
10.1177/20539517211013569
Notice DOI
10.1177/20539517211027766
Event date
2021-06-16
Machine twin
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01One-hop citing occurrences

Correction Open
Situated Action in Pre-Hospital Critical Care Dispatch: Identifying where and how Algorithmic Assistance might be useful in the daily work of specialist Emergency Medical Dispatchers

ref [44] · 2609.07705 · notice #10907 · dispute

Raw extraction · citation context

Howard, R.A., Matheson, J.E., 2005. Influence Di- agrams. Decision Analysis 2, 127-143. URL: https://pubsonline.informs.org/doi/abs/10.1287/deca.1050.0020, doi:10.1287/deca.1050.0020. Jaton, F., 2021. Assessing biases, relaxing moralism: On ground-truthing prac- tices in machine learning design and application. Big Data & Society 8, 20539517211013569. doi:10.1177/20539517211013569. Keane, P.A., Topol, E.J., 2018. With an eye to AI and autonomous diagnosis. npj Digital Medicine 1, 1-3. doi:10.1038/s41746-018-0048-y. Kelly, C.J., Karthikesalingam, A., Suleyman, M., Corrado, G., King, D., 2019. Key challenges for delivering clinical impact with artificial intelligence. BMC medicine 17, 1-9. doi:10.1186/s12916-019-1426-2. Li, R.

Parser render (TeX stripped for reading; raw above is the evidence)

Howard, R.A., Matheson, J.E., 2005. Influence Di- agrams. Decision Analysis 2, 127-143. URL: https://pubsonline.informs.org/doi/abs/10.1287/deca.1050.0020, doi:10.1287/deca.1050.0020. Jaton, F., 2021. Assessing biases, relaxing moralism: On ground-truthing prac- tices in machine learning design and application. Big Data & Society 8, 20539517211013569. doi:10.1177/20539517211013569. Keane, P.A., Topol, E.J., 2018. With an eye to AI and autonomous diagnosis. npj Digital Medicine 1, 1-3. doi:10.1038/s41746-018-0048-y. Kelly, C.J., Karthikesalingam, A., Suleyman, M., Corrado, G., King, D., 2019. Key challenges for delivering clinical impact with artificial intelligence. BMC medicine 17, 1-9. doi:10.1186/s12916-019-1426-2. Li, R

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