{"id":"W1419554275","doi":"10.1080/14739879.2012.11494067","title":"Practice-based small group learning in GP specialty training","year":2012,"lang":"en","type":"article","venue":"Education for Primary Care","topic":"Innovations in Medical Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Specialty; Training (meteorology); Medical education; Group (periodic table); General practice; Medicine; Psychology; Computer science; Family medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0127333,0.0003953952,0.0002976669,0.0008862219,0.002898645,0.002388358,0.002082083,0.00118396,0.00747575],"category_scores_gemma":[0.01942804,0.0002177536,0.0003435064,0.001223971,0.004679492,0.001954087,0.006782553,0.001398437,0.001141421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003028775,"about_ca_system_score_gemma":0.006752411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773409,"about_ca_topic_score_gemma":0.004231537,"domain_scores_codex":[0.9887221,0.009032334,0.0001580082,0.0004962845,0.0009278033,0.0006634076],"domain_scores_gemma":[0.9830693,0.01204133,0.001063915,0.0008416209,0.0006846951,0.002299085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003235117,0.002887731,0.01506069,0.002495989,0.00003417065,0.001329439,0.2968872,0.001468901,0.002141453,0.01028563,0.008905794,0.6581795],"study_design_scores_gemma":[0.001022172,0.0132786,0.07567299,0.005972084,0.0001149339,0.004030642,0.4983529,0.004686559,0.004671513,0.06380283,0.3281995,0.0001951832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.843394,0.002457288,0.04867074,0.01013071,0.0004953404,0.003774438,0.0001135275,0.0004207286,0.09054313],"genre_scores_gemma":[0.9583575,0.001096508,0.03447527,0.0009337233,0.00009685663,0.001187563,0.00007611294,0.00002091167,0.003755516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0127333,"threshold_uncertainty_score":0.06734091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354288116560369,"score_gpt":0.3417552900432418,"score_spread":0.3082124088776381,"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."}}