{"id":"W7017659132","doi":"","title":"Assessing team performance: a mixed-methods analysis using interprofessional <i>in situ</i> simulation","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Emergency department; Interdependence; Resource (disambiguation); Focus group; Qualitative property; Program evaluation; Project team","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03683416,0.0009842957,0.001392468,0.002742873,0.001451951,0.002144553,0.002151106,0.0008462504,0.002348411],"category_scores_gemma":[0.05435177,0.000980883,0.003166685,0.002221724,0.0009627567,0.001328511,0.002172577,0.001009183,0.0002880696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968555,"about_ca_system_score_gemma":0.003181286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003275698,"about_ca_topic_score_gemma":0.004232775,"domain_scores_codex":[0.9400192,0.04887843,0.003416988,0.003041272,0.003685428,0.0009586904],"domain_scores_gemma":[0.9345163,0.05025327,0.005045078,0.004192732,0.005339984,0.0006525691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009952704,0.01343604,0.4158828,0.006445396,0.01296449,0.0006426665,0.06848398,0.01446431,0.01013352,0.006686261,0.003149499,0.4377583],"study_design_scores_gemma":[0.005694163,0.0753589,0.555158,0.003076172,0.009428648,0.0007261282,0.0989605,0.1983805,0.01908216,0.01001651,0.02325065,0.0008676155],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8648341,0.0006039751,0.1185459,0.0002159193,0.0001471578,0.01327852,0.0006127561,0.0001316152,0.001630051],"genre_scores_gemma":[0.8179862,0.0002655127,0.1415441,0.0002262184,0.00004907544,0.03866562,0.0004288273,0.0000527194,0.0007817073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03683416,"threshold_uncertainty_score":0.1948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08264737525815406,"score_gpt":0.4657233229216928,"score_spread":0.3830759476635388,"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."}}