{"id":"W3082236483","doi":"10.1097/01.numa.0000694900.00441.7b","title":"Becoming a high-performing team","year":2020,"lang":"en","type":"article","venue":"Nursing Management","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Business; Computer science; Psychology; Process management","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":[0.00009974815,0.0001016923,0.0001455319,0.00009672695,0.0001308828,0.00002101728,0.00006560862,0.00003722639,0.0002614089],"category_scores_gemma":[0.00002143731,0.0001063867,0.00003966583,0.0002565421,0.00002643092,0.0000610063,0.00001503127,0.0001312392,0.0001411006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003247918,"about_ca_system_score_gemma":0.00004800515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002318941,"about_ca_topic_score_gemma":2.410816e-7,"domain_scores_codex":[0.9990276,0.00001906863,0.0002296915,0.0002504078,0.0002543291,0.0002188919],"domain_scores_gemma":[0.9994344,0.00003890423,0.00005709699,0.0002159466,0.00006478342,0.0001888313],"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":[0.000573277,0.0008275348,0.2044712,0.003159621,0.0002916979,0.00008165315,0.05039408,0.004920199,0.0005599586,0.02268505,0.1049498,0.6070859],"study_design_scores_gemma":[0.01078122,0.001421309,0.7181576,0.005833048,0.001230563,0.00004624086,0.07355803,0.1031808,0.003443356,0.003276393,0.0777516,0.001319894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.816291,0.000227473,0.005200387,0.1249432,0.001602376,0.001420396,0.000003080764,0.0004813677,0.04983066],"genre_scores_gemma":[0.9823554,0.000005762377,0.01094198,0.005649311,0.0004874274,0.00002633137,0.00003564439,0.00002512577,0.0004730651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.605766,"threshold_uncertainty_score":0.4338323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05846712903265425,"score_gpt":0.3587452559059758,"score_spread":0.3002781268733216,"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."}}