{"id":"W3080527613","doi":"10.2196/19918","title":"Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Psychology; Computer science; Artificial intelligence; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.03819797,0.001098384,0.001463974,0.003173461,0.001136457,0.007982718,0.001708701,0.00338877,0.005986973],"category_scores_gemma":[0.1315766,0.000473713,0.000892932,0.00201186,0.005777901,0.01115703,0.00217452,0.003550417,0.002717706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462513,"about_ca_system_score_gemma":0.003476002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003465788,"about_ca_topic_score_gemma":0.002210583,"domain_scores_codex":[0.978879,0.01433184,0.0009661542,0.002092392,0.003062166,0.000668388],"domain_scores_gemma":[0.9016212,0.07335929,0.008690972,0.006305258,0.007141844,0.0028814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001074561,0.0008698237,0.2624956,0.001807405,0.001517065,0.0005175517,0.006325119,0.01290996,0.001066562,0.07783233,0.06290361,0.5706803],"study_design_scores_gemma":[0.0004084748,0.001499437,0.08137978,0.005843946,0.0007759876,0.001749608,0.009183201,0.0579087,0.00277318,0.7177511,0.1201197,0.0006069267],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1597892,0.04178074,0.1370203,0.5531012,0.004178107,0.0004221294,0.001892279,0.001466795,0.1003493],"genre_scores_gemma":[0.8926015,0.01283047,0.04735654,0.04166279,0.002293812,0.0002154239,0.000656973,0.0001445739,0.002237991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03819797,"threshold_uncertainty_score":0.2020125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5084866340275597,"score_gpt":0.5799768971393031,"score_spread":0.07149026311174345,"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."}}