{"id":"W2561627061","doi":"","title":"Simulation-based team training in obstetric emergencies simulation-based training is a vehicle for teaching, rehearsing, and analyzing the interdisciplinary performance of your obstetrical team that improves skills, communication, and patient outcomes","year":2012,"lang":"en","type":"article","venue":"Contemporary ob/gyn","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Rehearsing; Medicine; Simulation training; Training (meteorology); Medical emergency; Medical education; Simulation; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009912552,0.0002276657,0.0001421046,0.000215241,0.0002594171,0.0004080591,0.0004540774,0.0003812754,0.004375057],"category_scores_gemma":[0.004435711,0.0001113487,0.0002393772,0.0001319428,0.0002244557,0.0002628118,0.0007731863,0.0005856164,0.00069498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710293,"about_ca_system_score_gemma":0.001106193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170134,"about_ca_topic_score_gemma":0.001757777,"domain_scores_codex":[0.9994166,0.0003969155,0.00002396171,0.00002701502,0.00009247464,0.00004303941],"domain_scores_gemma":[0.9987086,0.0006593139,0.00008404908,0.0000913909,0.0001053007,0.0003513672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002013294,0.008653481,0.03030952,0.0008862006,0.0001374513,0.001345607,0.003895634,0.1161313,0.01161054,0.01007867,0.03835602,0.7765822],"study_design_scores_gemma":[0.003244358,0.01902338,0.1210884,0.004142664,0.0002723059,0.01010165,0.006052684,0.4708945,0.03596934,0.0424199,0.2864412,0.0003496486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7965845,0.002644177,0.1364689,0.005913467,0.0009421891,0.0007559238,0.0002673449,0.001011228,0.0554122],"genre_scores_gemma":[0.9447068,0.00245019,0.04625397,0.0005072836,0.0002191897,0.0004310385,0.0001959925,0.00006264522,0.005172896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004375057,"threshold_uncertainty_score":0.01463604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09065529771500962,"score_gpt":0.3756800539683346,"score_spread":0.285024756253325,"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."}}