{"id":"W3161506523","doi":"10.1136/medethics-2021-107255","title":"Ethical decision making during a healthcare crisis: a resource allocation framework and tool","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Ethics","topic":"Disaster Response and Management","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Health care; Accountability; Resource (disambiguation); Resource allocation; Health care rationing; Stakeholder; Inefficiency; Process (computing); Scarcity; Business; Knowledge management; Public relations; Management science; Process management; Computer science; Political science; Economics; Law; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1870862,0.003174923,0.002033155,0.01746085,0.01368362,0.0371903,0.008744041,0.01253526,0.009403747],"category_scores_gemma":[0.1559329,0.001905211,0.003259724,0.01010986,0.0433127,0.03640951,0.03084002,0.01664843,0.003558802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01807411,"about_ca_system_score_gemma":0.04161019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003073851,"about_ca_topic_score_gemma":0.004759112,"domain_scores_codex":[0.7821417,0.1852468,0.01201352,0.004288812,0.01255832,0.003750899],"domain_scores_gemma":[0.6977924,0.2554535,0.008567575,0.00949249,0.01902411,0.009669984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007137984,0.0005612757,0.001598603,0.001213306,0.00006398613,0.001135856,0.04867776,0.006834042,0.0005527521,0.8133719,0.02319677,0.1027222],"study_design_scores_gemma":[0.00009932322,0.0001569247,0.0005086181,0.004013121,0.00006175935,0.0007750982,0.03517562,0.01769054,0.0009407595,0.7607219,0.1795925,0.0002639285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008227661,0.001024578,0.8444509,0.05630874,0.000846443,0.004077465,0.0003382783,0.001639401,0.08308655],"genre_scores_gemma":[0.05667725,0.0006735271,0.9334796,0.00245909,0.0001590782,0.002867468,0.0002712455,0.0001669808,0.003245685],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1870862,"threshold_uncertainty_score":0.9894183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09536733993779849,"score_gpt":0.5126833439727734,"score_spread":0.4173160040349749,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}