{"id":"W4388565113","doi":"10.1016/j.patter.2023.100864","title":"A normative framework for artificial intelligence as a sociotechnical system in healthcare","year":2023,"lang":"en","type":"review","venue":"Patterns","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Sociotechnical system; Normative; Intervention (counseling); Health care; Artificial intelligence; Knowledge management; Computer science; Psychology; Conceptual framework; Healthcare system; Management science; Risk analysis (engineering); Medicine; Engineering; Sociology; Political science; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02041048,0.00125439,0.001341657,0.00506597,0.002961933,0.01098734,0.003237839,0.00673011,0.003148274],"category_scores_gemma":[0.01332804,0.0006047238,0.001030202,0.003482464,0.04198305,0.01092314,0.00560776,0.00817663,0.001263345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007930383,"about_ca_system_score_gemma":0.012829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004060014,"about_ca_topic_score_gemma":0.003169058,"domain_scores_codex":[0.9861871,0.008357891,0.0009115633,0.0009517841,0.003176494,0.0004151258],"domain_scores_gemma":[0.988483,0.007436249,0.0008126867,0.001158175,0.001789341,0.0003205297],"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":[0.000001978868,0.000005513524,0.00003419342,0.0001931437,0.000004150039,0.00001860854,0.0003562164,0.0002125317,0.00003014412,0.9928809,0.001015811,0.005246754],"study_design_scores_gemma":[0.000007278197,0.00001241736,0.0001416318,0.001648882,0.00001079728,0.0001228212,0.0006031626,0.0007088716,0.00008556774,0.9035369,0.09310672,0.00001495524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.003517002,0.175706,0.295956,0.1959428,0.003917722,0.0005928171,0.0003108949,0.0002636456,0.3237931],"genre_scores_gemma":[0.5049878,0.208963,0.1855843,0.05776547,0.006876068,0.006580079,0.0006284961,0.0002601386,0.02835465],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9970381,"threshold_uncertainty_score":0.1079422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5061887222404592,"score_gpt":0.5652262730099701,"score_spread":0.05903755076951089,"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."}}