{"id":"W4287310040","doi":"10.1177/23814683221113573","title":"Polarized Citizen Preferences for the Ethical Allocation of Scarce Medical Resources in 20 Countries","year":2022,"lang":"en","type":"article","venue":"MDM Policy & Practice","topic":"Disaster Response and Management","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Toulouse School of Economics; Agence Nationale de la Recherche; University of Exeter; Yale University","keywords":"Triage; Usability; Metric (unit); Health care; Pandemic; Scarcity; Public health; Quality (philosophy); Psychology; Medicine; Coronavirus disease 2019 (COVID-19); Public relations; Internet privacy; Medical emergency; Business; Nursing; Computer science; Political science; Marketing","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":[0.02706334,0.0002704825,0.0003599781,0.00105307,0.001619508,0.003294993,0.0003550602,0.001119458,0.001285541],"category_scores_gemma":[0.07218524,0.0002730726,0.0004965377,0.0008090575,0.003227125,0.001809859,0.002710858,0.001032236,0.000152638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002064092,"about_ca_system_score_gemma":0.001447488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002681091,"about_ca_topic_score_gemma":0.002483702,"domain_scores_codex":[0.9763556,0.01985782,0.0009849411,0.000495924,0.001342314,0.0009634931],"domain_scores_gemma":[0.9514453,0.02916376,0.01040093,0.00223044,0.004123522,0.002636025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008426664,0.0002073435,0.7339228,0.0005283589,0.0001827527,0.0008488419,0.1812368,0.001417019,0.001798218,0.005780771,0.004481723,0.06875272],"study_design_scores_gemma":[0.000124289,0.001233749,0.4888497,0.0009586772,0.0001243717,0.001101286,0.467277,0.00535462,0.001287919,0.006673643,0.0267747,0.0002400765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934645,0.0001549871,0.001236013,0.001881689,0.00002488073,0.00004887277,0.00005685585,0.00001360676,0.003118446],"genre_scores_gemma":[0.9989555,0.00006446985,0.0005260626,0.0003430521,0.000006217077,0.00002031606,0.00002036096,0.000003331661,0.00006061779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02706334,"threshold_uncertainty_score":0.1431263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07552039390192608,"score_gpt":0.4757127463352008,"score_spread":0.4001923524332747,"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."}}