{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008799344,0.0009866186,0.0004621859,0.001168254,0.01297717,0.01053909,0.002721876,0.00996946,0.1446985],"category_scores_gemma":[0.020463,0.0004759763,0.0007439393,0.0009568689,0.006652173,0.01123531,0.01217663,0.01580019,0.06564896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01379205,"about_ca_system_score_gemma":0.07561684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1904969,"about_ca_topic_score_gemma":0.3433092,"domain_scores_codex":[0.9885973,0.002214756,0.0002057845,0.0006739513,0.004358664,0.003949504],"domain_scores_gemma":[0.9748095,0.001014193,0.000419768,0.001063228,0.006501053,0.01619231],"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":[0.000008667375,0.00004921016,0.0003831181,0.00004818114,0.000002346658,0.00003202264,0.0005983127,0.00002677136,0.0001152138,0.01598313,0.9411818,0.04157121],"study_design_scores_gemma":[0.000006553405,0.0000142459,0.0008717311,0.0002791398,0.000002655634,0.0000521814,0.002314847,0.00003794045,0.00006090376,0.004760128,0.9915854,0.00001430884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001014301,0.001609259,0.002157732,0.8236449,0.02241422,0.00007864716,0.0003533647,0.0005839838,0.1481436],"genre_scores_gemma":[0.04500065,0.004749922,0.01481848,0.6114576,0.008082385,0.0003327353,0.001107628,0.0009776111,0.313473],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1904969,"threshold_uncertainty_score":0.4840646,"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."}}