{"id":"W2187365503","doi":"10.1017/s1481803500011805","title":"Simulation-based training in critical resuscitation procedures improves residents' competence","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Calgary","funders":"","keywords":"Competence (human resources); Medicine; Educational measurement; Simulation training; Simulated patient; Medical education; Multidisciplinary approach; Curriculum; Family medicine; Psychology; Simulation","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007770518,0.0001547219,0.0003660118,0.0009985435,0.0001297441,0.000006453144,0.0001358899,0.0001040676,0.001086412],"category_scores_gemma":[0.01498541,0.0001389219,0.00007270392,0.0007860137,0.0001123401,0.0001803799,0.000001186207,0.0003805056,0.00000459304],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003696271,"about_ca_system_score_gemma":0.006289628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166066,"about_ca_topic_score_gemma":0.006643794,"domain_scores_codex":[0.9976432,0.00009711737,0.001233517,0.0001923967,0.0004553192,0.0003784433],"domain_scores_gemma":[0.9960216,0.0009613947,0.0002944335,0.0002011652,0.001558355,0.0009630329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006736691,0.0001707259,0.7844827,0.00100556,0.00005445896,0.0004158153,0.04287238,0.1467136,0.002921612,0.00377305,0.01046555,0.006450868],"study_design_scores_gemma":[0.001812444,0.001170404,0.9554981,0.002256802,0.00008584199,0.00001163382,0.006636612,0.02676742,0.0000428624,0.005055138,0.000469128,0.0001936416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8866048,0.003392302,0.001850942,0.09861217,0.007618179,0.0006382828,0.000007772309,0.00002542113,0.001250076],"genre_scores_gemma":[0.9962339,0.00001637023,0.0008015151,0.001564991,0.001280797,0.000003780083,0.00002070745,0.00001612907,0.00006175373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1710154,"threshold_uncertainty_score":0.9998267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508704089553083,"score_gpt":0.4541153443603194,"score_spread":0.3032449354050111,"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."}}