{"id":"W2345517057","doi":"10.1017/cem.2015.25","title":"Lessons in every patient encounter","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University Medical Centre; McMaster University","funders":"","keywords":"Medicine; Content (measure theory); Action (physics); World Wide Web; Medical emergency; Computer science","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":[0.01336812,0.001401185,0.00205456,0.002615595,0.01897051,0.01142702,0.005110935,0.02101871,0.02278201],"category_scores_gemma":[0.08433837,0.001592388,0.001865318,0.001492109,0.01076787,0.02060845,0.01405496,0.06296231,0.00841583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01074596,"about_ca_system_score_gemma":0.03515609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02788622,"about_ca_topic_score_gemma":0.09852081,"domain_scores_codex":[0.986051,0.004957541,0.001076188,0.001181255,0.004330743,0.002403303],"domain_scores_gemma":[0.9222835,0.01341966,0.002225148,0.002234651,0.01848126,0.04135577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002748131,0.0002864317,0.004439007,0.0003352014,0.0000584443,0.003293756,0.008587488,0.0001060894,0.00009312611,0.006090754,0.9161251,0.06055723],"study_design_scores_gemma":[0.0001565509,0.0001839586,0.007794667,0.009205881,0.0001209088,0.00984068,0.08754708,0.0002661249,0.0001560459,0.09576462,0.7886244,0.0003391519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001970524,0.007884986,0.001300972,0.9480538,0.0267373,0.00004265237,0.00004653052,0.0001678266,0.01379526],"genre_scores_gemma":[0.08106155,0.02807751,0.01073482,0.8021173,0.05329789,0.0003749989,0.0002257734,0.0002912931,0.02381884],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02788622,"threshold_uncertainty_score":0.07796776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2807904689445224,"score_gpt":0.4902683600136872,"score_spread":0.2094778910691648,"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."}}