{"id":"W4206985409","doi":"10.1136/medethics-2021-108099","title":"Prioritisation for therapies based on a disorder’s severity: ethics and practicality","year":2022,"lang":"en","type":"letter","venue":"Journal of Medical Ethics","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Bulletin of Medical History","funders":"","keywords":"Data science; Psychology; Medicine; Psychiatry; Computer science","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":[0.02612825,0.0004689705,0.001665045,0.0008453091,0.01013386,0.009635895,0.002707067,0.08990777,0.006254786],"category_scores_gemma":[0.09818939,0.0007953793,0.00123106,0.0009750842,0.01197795,0.008550635,0.004786139,0.07360461,0.001901554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00813346,"about_ca_system_score_gemma":0.02409864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007134722,"about_ca_topic_score_gemma":0.01893546,"domain_scores_codex":[0.9747071,0.01398055,0.002758185,0.001708236,0.004455902,0.002389934],"domain_scores_gemma":[0.8754975,0.09340994,0.003598834,0.002398815,0.01048066,0.0146143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001285587,0.000150119,0.002692332,0.0001740933,0.00006765789,0.0062037,0.0029754,0.0002726795,0.000515722,0.0849436,0.8719103,0.02996574],"study_design_scores_gemma":[0.0002727142,0.0001113386,0.002863346,0.001403712,0.00005937448,0.00918598,0.006778923,0.001894733,0.0004054214,0.2322069,0.7446136,0.0002038865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004951539,0.000400851,0.0001312004,0.9961215,0.001310814,0.00000335709,0.000003919204,0.000002332523,0.001530851],"genre_scores_gemma":[0.02525258,0.0008624657,0.001443371,0.9534599,0.01560757,0.00004140398,0.000007456807,0.00001824636,0.003306965],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08990777,"threshold_uncertainty_score":0.138181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2106416467873575,"score_gpt":0.4891575810156283,"score_spread":0.2785159342282708,"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."}}