{"id":"W2161068245","doi":"10.1136/bmjqs-2011-000296","title":"Determination of the psychometric properties of a behavioural marking system for obstetrical team training using high-fidelity simulation: Table 1","year":2011,"lang":"en","type":"article","venue":"BMJ Quality & Safety","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; University of British Columbia; York University; Women's College Hospital","funders":"","keywords":"Medicine; Table (database); Fidelity; Simulation training; Training (meteorology); Medical physics; Medical education; Simulation; Computer science; Data mining","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02356557,0.0004669669,0.0004202185,0.001506557,0.0003835687,0.001166391,0.000848624,0.0006421868,0.002876876],"category_scores_gemma":[0.08397904,0.0003268284,0.001468066,0.001028977,0.0004733421,0.0009508994,0.001024934,0.000647617,0.000661712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007616436,"about_ca_system_score_gemma":0.0009971372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009226055,"about_ca_topic_score_gemma":0.0009578801,"domain_scores_codex":[0.9885262,0.005094794,0.001915426,0.0004878633,0.00370478,0.000270925],"domain_scores_gemma":[0.898923,0.06893167,0.009469586,0.005421509,0.01607507,0.001179046],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001081724,0.0008564062,0.8453315,0.0004973669,0.000402755,0.00006994428,0.001457563,0.003702455,0.003661445,0.000379344,0.00175409,0.1408055],"study_design_scores_gemma":[0.0001370307,0.00369122,0.9765396,0.0002931215,0.0001673725,0.0002737493,0.0006477715,0.01167871,0.003922314,0.0003103826,0.00228923,0.00004956229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772286,0.000193401,0.01585682,0.0001703962,0.00006991214,0.001222423,0.0007682946,0.0002499809,0.004240169],"genre_scores_gemma":[0.9830172,0.0001429782,0.01422719,0.00003824436,0.00001920163,0.001147929,0.0009006651,0.00002472821,0.000481887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9764344,"threshold_uncertainty_score":0.1246282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4620052695834772,"score_gpt":0.4416120665589419,"score_spread":0.02039320302453534,"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."}}