{"id":"W4317863317","doi":"10.46747/cfp.690172","title":"Transforming training for today","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Culmination; Training (meteorology); Computer science; Field (mathematics); Medical education; Data science; Operations research; Medicine; Engineering; Geography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004371263,0.0001584398,0.0003136991,0.0003085724,0.001378254,0.000009693905,0.000208428,0.0001604544,0.00001416231],"category_scores_gemma":[0.00002900811,0.0001639638,0.0001280263,0.0005091855,0.00002970483,0.0001463291,0.00001292871,0.0003350087,0.0008628684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000796751,"about_ca_system_score_gemma":0.005188209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01097375,"about_ca_topic_score_gemma":0.05987706,"domain_scores_codex":[0.9978142,0.00006967697,0.0003449644,0.000261903,0.0001258661,0.001383353],"domain_scores_gemma":[0.9986297,0.0004032124,0.00006216842,0.000245132,0.00008528705,0.0005745179],"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":[0.00001725506,0.000004224446,0.0002226408,0.0002864678,0.00003095855,0.00001596091,0.005162168,0.000005565924,0.001021316,0.01561197,0.7623865,0.215235],"study_design_scores_gemma":[0.0005146904,0.00003530302,0.005599764,0.00006242342,0.00001476093,4.910612e-8,0.008755224,0.00006096974,0.0000158519,0.003094621,0.9816521,0.0001942163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.05437706,0.0002732775,0.0003265417,0.02508787,0.003215865,0.002448377,0.0007979362,0.0005563408,0.9129167],"genre_scores_gemma":[0.1596378,0.00005413085,0.000226983,0.8292443,0.001705035,0.0007912642,0.0003891223,0.0001033884,0.007848047],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9050687,"threshold_uncertainty_score":0.9999218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1272853147082102,"score_gpt":0.3985094310401396,"score_spread":0.2712241163319294,"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."}}