{"id":"W2977563227","doi":"10.1007/s40037-019-00534-7","title":"A&amp;nbsp;multiple-trainee, multiple-level, multiple-competency (multi-TLC) simulation-based approach to training obstetrical emergencies","year":2019,"lang":"en","type":"article","venue":"Perspectives on Medical Education","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University; Hamilton Health Sciences","keywords":"Medical education; Medicine; Computer science; Psychology; Medical physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001991295,0.000299063,0.0001396391,0.0003759626,0.0006921501,0.0008210505,0.0008271218,0.0005560843,0.01519121],"category_scores_gemma":[0.003802272,0.0001904949,0.0001990032,0.0002329621,0.0007268948,0.0005930869,0.001832433,0.00105389,0.003592362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007451834,"about_ca_system_score_gemma":0.004462154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00285469,"about_ca_topic_score_gemma":0.008118524,"domain_scores_codex":[0.9987382,0.0006780223,0.00005350083,0.0001026011,0.0003414347,0.00008625933],"domain_scores_gemma":[0.9979187,0.0004575507,0.0001655302,0.0002384426,0.0004310048,0.0007888929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006805062,0.005354209,0.01417805,0.0004196696,0.00003527507,0.0002439345,0.0009090709,0.009049687,0.01382755,0.009263799,0.03246907,0.9135691],"study_design_scores_gemma":[0.001343637,0.01763595,0.08177336,0.001052959,0.00008411003,0.003427576,0.001917757,0.1060765,0.03091697,0.02058126,0.7350103,0.0001796405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3377721,0.002102496,0.3876465,0.009076715,0.001571475,0.006638639,0.0007919341,0.002564785,0.2518355],"genre_scores_gemma":[0.5392841,0.003015351,0.3840993,0.001749833,0.0001681975,0.004332,0.0007016623,0.0001397528,0.06650983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01519121,"threshold_uncertainty_score":0.05081964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155151726190461,"score_gpt":0.3918910096926728,"score_spread":0.2763758370736267,"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."}}