{"id":"W3084055012","doi":"10.1038/s41591-020-1035-9","title":"Clinical research underlies ethical integration of healthcare artificial intelligence","year":2020,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Health care; Engineering ethics; Psychology; Medicine; Political science; Engineering; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003655106,0.0001587266,0.0005892736,0.0002304634,0.0001425225,0.000008378231,0.0002024988,0.001294556,0.0003484786],"category_scores_gemma":[0.01530319,0.000116558,0.0001073236,0.001253088,0.0009507295,0.00005349674,0.00004828542,0.006210992,0.00008948759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000967916,"about_ca_system_score_gemma":0.0006491888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006224056,"about_ca_topic_score_gemma":0.0003015597,"domain_scores_codex":[0.9961295,0.0005452827,0.001368986,0.0004827845,0.001106931,0.0003665493],"domain_scores_gemma":[0.9953809,0.001710569,0.0001833599,0.0003666799,0.001819797,0.0005386912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001532711,0.0002589307,0.006456763,0.000728782,0.00004685245,0.00003272442,0.01396508,0.000003619877,0.006088704,0.1533637,0.01345894,0.8040633],"study_design_scores_gemma":[0.0005369318,0.0359514,0.02775116,0.006831543,0.000464292,0.0001605956,0.1690475,0.01435323,0.3479678,0.3191017,0.07677718,0.001056637],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2405872,0.002699951,0.007900071,0.7450104,0.001425776,0.000764168,0.000004606866,0.00008440519,0.001523371],"genre_scores_gemma":[0.9769287,0.000716407,0.001482262,0.01680908,0.003909008,0.00001448783,0.00006062396,0.00002106323,0.00005839995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8030066,"threshold_uncertainty_score":0.9984803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6562657262115905,"score_gpt":0.6395897843082988,"score_spread":0.01667594190329169,"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."}}