{"id":"W1958408565","doi":"10.1016/j.ienj.2015.09.006","title":"Momentary fitting in a fluid environment: A grounded theory of triage nurse decision making","year":2015,"lang":"en","type":"article","venue":"International Emergency Nursing","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Triage; Medical emergency; Emergency nursing; Grounded theory; Medicine; Nursing; Process (computing); Emergency department; Patient safety; Computer science; Health care; Qualitative research","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":[0.0005103271,0.0001500042,0.0002521828,0.0002671872,0.00004156633,0.000003836148,0.0001456223,0.0000562491,0.0007517727],"category_scores_gemma":[0.0004013703,0.0001423867,0.0001291887,0.000176103,0.00007094663,0.0001704917,0.00003876586,0.0001340236,0.00001632602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213336,"about_ca_system_score_gemma":0.00003143843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003242492,"about_ca_topic_score_gemma":0.000007513787,"domain_scores_codex":[0.9983359,0.00005906062,0.0006257214,0.0002567977,0.0005212957,0.0002012074],"domain_scores_gemma":[0.999436,0.00007810966,0.000147857,0.000168107,0.0001044083,0.00006547873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.009550227,0.003902318,0.1873241,0.000179881,0.001157699,0.0003681245,0.05354898,0.001279718,0.02791895,0.03194832,0.03452531,0.6482964],"study_design_scores_gemma":[0.02551703,0.002301737,0.3636125,0.01752841,0.001073161,0.0004047398,0.1175096,0.01873732,0.01088723,0.4218442,0.01829842,0.002285695],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436294,0.003543969,0.0053911,0.001128013,0.003497377,0.0003001115,0.00001821722,0.00003171601,0.04246002],"genre_scores_gemma":[0.9962977,0.0004891444,0.002521476,0.00007031141,0.0002606914,0.00001479161,0.00002639142,0.00001967289,0.000299774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6460106,"threshold_uncertainty_score":0.8231384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03617428057272143,"score_gpt":0.3490063864349706,"score_spread":0.3128321058622491,"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."}}