{"id":"W2802935654","doi":"10.5206/uwomj.v86i2.2060","title":"Machine learning in medicine","year":2017,"lang":"en","type":"article","venue":"University of Western Ontario Medical Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Health care; Process (computing); Machine learning; Quality (philosophy); Limited resources; Artificial intelligence; Risk analysis (engineering); Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005926848,0.00104665,0.001530295,0.002305268,0.001027585,0.006210461,0.001503219,0.004965851,0.0202971],"category_scores_gemma":[0.01396111,0.0003576973,0.0007965853,0.002121636,0.006632065,0.005376494,0.003368588,0.006667554,0.00840815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002604949,"about_ca_system_score_gemma":0.003976087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906051,"about_ca_topic_score_gemma":0.001126877,"domain_scores_codex":[0.9946971,0.002446999,0.0003195461,0.0007324059,0.001581077,0.0002228639],"domain_scores_gemma":[0.9905623,0.006136619,0.0005219418,0.001124172,0.001122504,0.0005325486],"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":[0.00003843857,0.00004923406,0.001420222,0.001196192,0.0001067429,0.0001513684,0.0003881251,0.00214253,0.0002921112,0.5912315,0.1515401,0.2514434],"study_design_scores_gemma":[0.00001748071,0.00006624084,0.0008943627,0.001311538,0.00002176693,0.0003089563,0.0001987226,0.001806212,0.0001535123,0.4616652,0.5335206,0.00003534247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002892684,0.4120382,0.1260498,0.1982159,0.01916086,0.0002226607,0.001199978,0.0009580735,0.239262],"genre_scores_gemma":[0.1879613,0.48147,0.1076419,0.0615571,0.04599676,0.0011017,0.002254817,0.000467154,0.1115492],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0202971,"threshold_uncertainty_score":0.0679006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358704942797526,"score_gpt":0.3813033595545752,"score_spread":0.2454328652748226,"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."}}