{"id":"W1804696334","doi":"10.1016/j.jsurg.2015.08.008","title":"Putting the MeaT into TeaM Training: Development, Delivery, and Evaluation of a Surgical Team-Training Workshop","year":2015,"lang":"en","type":"article","venue":"Journal of surgical education","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Debriefing; Medical education; Curriculum; Simulation training; Medicine; Training (meteorology); Quality (philosophy); Surgical team; Psychology; Computer science; Simulation; Surgery; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005522909,0.0001559564,0.0003897072,0.000292517,0.0001523369,0.00003893211,0.0001174206,0.0001445471,0.0001036766],"category_scores_gemma":[0.001131264,0.0001115472,0.00009304225,0.0004537446,0.0001182989,0.0002415218,0.00002327509,0.0004359858,0.000003832048],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005045893,"about_ca_system_score_gemma":0.009221019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004759684,"about_ca_topic_score_gemma":0.000008960781,"domain_scores_codex":[0.9968478,0.0004025893,0.001095129,0.0001920524,0.001244918,0.0002175319],"domain_scores_gemma":[0.9940066,0.001178056,0.0007920155,0.0001888348,0.003402306,0.0004321273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006033895,0.0006761149,0.1808198,0.0001857585,0.0001768775,0.00000842247,0.1933574,0.001702762,0.0001043013,0.0004528154,0.005308115,0.6166043],"study_design_scores_gemma":[0.01702215,0.0009703391,0.2934684,0.004132668,0.001285855,0.005773124,0.501839,0.01567905,0.0008702159,0.006099103,0.1521481,0.0007120062],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839482,0.002350296,0.00003650699,0.01053295,0.0009412757,0.0003969998,4.543027e-7,0.00001249522,0.001780838],"genre_scores_gemma":[0.9938187,0.00008568077,0.004616414,0.0001482173,0.001135467,0.00002049864,0.00001993383,0.00001939478,0.0001357192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6158923,"threshold_uncertainty_score":0.9963958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1809305631194437,"score_gpt":0.4316521895251563,"score_spread":0.2507216264057126,"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."}}