{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001907573,0.0001503706,0.000494853,0.0002479679,0.0001986143,0.000007518988,0.0001430534,0.0001516406,0.00002640931],"category_scores_gemma":[0.002269702,0.0001143146,0.0001761067,0.001114994,0.0001057525,0.000140719,0.00002976344,0.0001463981,5.148523e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005216524,"about_ca_system_score_gemma":0.000766911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001615643,"about_ca_topic_score_gemma":0.00001031011,"domain_scores_codex":[0.9967175,0.000369159,0.00184954,0.0002705699,0.0005578261,0.0002354454],"domain_scores_gemma":[0.995986,0.001050611,0.0009435526,0.0005248741,0.001405761,0.00008920889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001292404,0.0003520138,0.960244,0.004361459,0.000051121,2.941552e-7,0.01689829,0.002880777,0.001713937,0.00081493,0.00001049026,0.01138027],"study_design_scores_gemma":[0.00202166,0.0001530696,0.8947187,0.001324765,0.0002150897,0.000008950205,0.01769082,0.07818978,0.005373394,0.00009500264,0.00001409548,0.0001946363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829704,0.0002265886,0.01332909,0.0001491819,0.000844595,0.002251379,0.00005848833,0.00004573615,0.000124531],"genre_scores_gemma":[0.9903356,0.000001040161,0.009332001,0.00004672372,0.0001407645,0.00006508336,0.00002290929,0.00002340019,0.00003244096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07530901,"threshold_uncertainty_score":0.4661616,"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."}}