{"id":"W4313289426","doi":"10.1136/jme-2022-108447","title":"Evidence, ethics and the promise of artificial intelligence in psychiatry","year":2022,"lang":"en","type":"article","venue":"Journal of Medical Ethics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Hospital for Sick Children; University of Toronto","funders":"Campbell Family Mental Health Research Institute; Associated Medical Services","keywords":"Humility; Unintended consequences; Affect (linguistics); Psychology; Big data; Applications of artificial intelligence; Data science; Computer science; Engineering ethics; Artificial intelligence; Epistemology; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"category_scores_codex":[0.03869245,0.00007787556,0.0003391151,0.0001799456,0.0002261042,0.00001136002,0.0002874429,0.0004319687,0.000383064],"category_scores_gemma":[0.05101753,0.00005044453,0.00009811409,0.0004462123,0.0007252445,0.00006884967,0.00009604564,0.01078981,0.00000165858],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007963483,"about_ca_system_score_gemma":0.008315677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005048407,"about_ca_topic_score_gemma":0.000422926,"domain_scores_codex":[0.9938396,0.00138254,0.001321438,0.000116803,0.003173347,0.0001662734],"domain_scores_gemma":[0.9878632,0.01031305,0.0005970048,0.0001988371,0.0007788108,0.0002491232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008886165,0.001710032,0.02303557,0.002509724,0.0001292041,0.0001889941,0.204502,0.0004276704,0.000155614,0.3009411,0.002518578,0.4549953],"study_design_scores_gemma":[0.001058106,0.005700816,0.006517009,0.01270625,0.0004833866,0.003761084,0.2382018,0.02524999,0.002245629,0.6961161,0.007493766,0.0004659956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3746122,0.007241228,0.002487151,0.6127833,0.002492512,0.000290721,9.802378e-7,0.000004381571,0.00008759605],"genre_scores_gemma":[0.9833282,0.008354142,0.0009053774,0.006801684,0.0005771623,0.000009601181,4.789739e-7,0.000006944569,0.00001640806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6087161,"threshold_uncertainty_score":0.9973062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3882338438514403,"score_gpt":0.5242184120601984,"score_spread":0.1359845682087581,"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."}}