{"id":"W4412773521","doi":"10.1002/aet2.70087","title":"A Novel Model of Patient Handover in Emergency Medicine—Addressing Hidden Tensions in Culture","year":2025,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Network for Innovation in Education; University of Ottawa; Ottawa Hospital","funders":"","keywords":"Handover; Medicine; Computer science; Medical emergency; Telecommunications","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":[0.000103213,0.00006994833,0.0001899597,0.0002058275,0.00003118967,0.000002111481,0.000023011,0.00004785461,0.00005456964],"category_scores_gemma":[0.0003191829,0.00005062773,0.00002418317,0.0002817167,0.00002707082,0.00004443372,0.00001523967,0.0001095249,3.005505e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000239601,"about_ca_system_score_gemma":0.0002643139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001205277,"about_ca_topic_score_gemma":0.0000454818,"domain_scores_codex":[0.9993935,0.00001053758,0.0002944755,0.0001259624,0.00007913685,0.00009639285],"domain_scores_gemma":[0.9997187,0.00002653372,0.00005190254,0.00008410944,0.00005699152,0.00006175651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001371989,0.001777595,0.3818249,0.0005006664,0.00005635644,0.000004000131,0.1908844,0.000144948,0.03318748,0.01420534,0.005601653,0.3716754],"study_design_scores_gemma":[0.004045273,0.0002075074,0.8926549,0.004808103,0.00009986919,0.00001473267,0.07793439,0.01258863,0.0005149402,0.0047211,0.002168862,0.0002417057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788945,0.0008953384,0.0001281169,0.003893386,0.0002408752,0.0001582961,0.00000130599,0.000007755754,0.01578047],"genre_scores_gemma":[0.9951499,0.00011505,0.002028426,0.0004530334,0.00001996212,0.00001236917,0.000008814642,0.000004468374,0.002208012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.51083,"threshold_uncertainty_score":0.2064539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06988040871750018,"score_gpt":0.3698670774158762,"score_spread":0.299986668698376,"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."}}