{"id":"W4291674406","doi":"10.46747/cfp.6808570","title":"Artificial intelligence and predictive algorithms in medicine","year":2022,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; Queen's University","funders":"","keywords":"Computer science; Artificial intelligence; Set (abstract data type); Machine learning; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007353431,0.001164076,0.001588992,0.002462264,0.0006856371,0.004319017,0.001802959,0.003492538,0.003721792],"category_scores_gemma":[0.02549675,0.0003623801,0.0007593771,0.003032385,0.005910539,0.005173044,0.001866874,0.004771972,0.00106761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130979,"about_ca_system_score_gemma":0.002236402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004140333,"about_ca_topic_score_gemma":0.001850818,"domain_scores_codex":[0.9954541,0.002696574,0.0002298247,0.0004832965,0.00100046,0.0001356718],"domain_scores_gemma":[0.978497,0.01884487,0.0005456742,0.0007411352,0.001141056,0.000230226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007705299,0.0001032973,0.002894076,0.001045882,0.0002575551,0.0001939034,0.0002576022,0.04439138,0.0001635723,0.7542688,0.02266687,0.1736801],"study_design_scores_gemma":[0.00002774388,0.0000519529,0.000756751,0.000573931,0.00003504544,0.0001331379,0.0001216954,0.04155977,0.0001280869,0.9111779,0.04539498,0.00003898596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00885132,0.3933167,0.4029604,0.1131236,0.007418064,0.0002512486,0.0004888236,0.0004952889,0.07309439],"genre_scores_gemma":[0.4538936,0.2743695,0.2178518,0.01449218,0.02012605,0.0006436036,0.0007549401,0.000135772,0.0177325],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007353431,"threshold_uncertainty_score":0.03888911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475469233277849,"score_gpt":0.3660542150266862,"score_spread":0.2185072916989013,"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."}}