{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003139935,0.0001320106,0.0002483868,0.0004447668,0.0002980009,0.00001066617,0.0001005692,0.0000506598,0.00004526511],"category_scores_gemma":[0.00004766212,0.0001410666,0.00002932525,0.0007082381,0.0001772157,0.00007496741,0.00002935755,0.0004200768,0.00002723049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006783511,"about_ca_system_score_gemma":0.0007595195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06680486,"about_ca_topic_score_gemma":0.01341719,"domain_scores_codex":[0.9985858,0.00006984442,0.0003633901,0.0003323917,0.000236276,0.0004123571],"domain_scores_gemma":[0.9991342,0.00008190463,0.00005416747,0.0002140863,0.00007736829,0.0004382508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000113473,0.0001285419,0.002378608,0.00003975129,0.00002387107,0.0001351123,0.00512991,0.00040261,0.0007280669,0.004613114,0.005401889,0.9809051],"study_design_scores_gemma":[0.000265294,0.007297428,0.1204781,0.0006705965,0.0002771146,0.00008643814,0.3735368,0.07535889,0.005385851,0.1948359,0.2200405,0.001767039],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874804,0.003985491,0.001187364,0.03597592,0.002809649,0.002070033,0.0001910795,0.00009993203,0.07887658],"genre_scores_gemma":[0.9582208,0.00005188573,0.00008904492,0.04080497,0.0005312798,0.0001094306,0.00008226309,0.00001992992,0.00009040736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.979138,"threshold_uncertainty_score":0.9394094,"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."}}