{"id":"W2946016028","doi":"10.1177/0840470419848428","title":"A population health perspective on artificial intelligence","year":2019,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Public Health Ontario; University of Toronto; Institute of Population and Public Health; McGill University","funders":"","keywords":"Perspective (graphical); Population; Computer science; Data science; Psychology; Artificial intelligence; Medicine; Environmental health","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":[0.005500654,0.0006743094,0.0006114434,0.003665495,0.001732536,0.005129048,0.001332631,0.004783466,0.006012098],"category_scores_gemma":[0.008812425,0.0002343744,0.0007599722,0.002833257,0.01415905,0.005413648,0.002569869,0.007889144,0.0007540262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005576556,"about_ca_system_score_gemma":0.003386676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007499836,"about_ca_topic_score_gemma":0.004225177,"domain_scores_codex":[0.9952767,0.003132757,0.0001260515,0.0004408107,0.0007201856,0.0003035203],"domain_scores_gemma":[0.9922884,0.006316674,0.0002557465,0.0002288041,0.0005799826,0.000330375],"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":[0.000005309952,0.00002046629,0.0005400947,0.0001099792,0.00001387585,0.00006008382,0.0005443578,0.0005383351,0.00002645586,0.9738666,0.01036213,0.01391234],"study_design_scores_gemma":[0.000007818447,0.0000292499,0.001025979,0.0004821452,0.0000147648,0.0001923116,0.0008022438,0.001079526,0.00005488223,0.8435892,0.1527076,0.00001430052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004915474,0.1078986,0.0330497,0.6042474,0.002977793,0.00006022343,0.0003502699,0.00007675497,0.2464237],"genre_scores_gemma":[0.5535664,0.2125075,0.0201407,0.1598915,0.02842318,0.0004828427,0.0003631074,0.00008771275,0.02453695],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.007499836,"threshold_uncertainty_score":0.04046088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224110034490879,"score_gpt":0.48208000227081,"score_spread":0.3596689988217222,"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."}}