{"id":"W4290739917","doi":"10.1016/j.annemergmed.2022.06.002","title":"How Are Patient Order and Shift Timing Associated with Imaging Choices in the Emergency Department? Evidence From Niagara Health Administrative Data","year":2022,"lang":"en","type":"article","venue":"Annals of Emergency Medicine","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Waterloo; McMaster University","funders":"","keywords":"Medicine; Emergency department; Radiography; Retrospective cohort study; Chest radiograph; Medical imaging; Emergency medicine; Radiology; Surgery; Nursing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009484046,0.0002208395,0.0005251921,0.0001141829,0.000242938,0.000004805805,0.0003441482,0.000023324,0.001271178],"category_scores_gemma":[0.001849082,0.0001294112,0.0000413694,0.0006967303,0.0000787833,0.0002509324,0.0002150018,0.0003058239,5.119567e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002479753,"about_ca_system_score_gemma":0.0001640078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009526137,"about_ca_topic_score_gemma":0.001007278,"domain_scores_codex":[0.9975049,0.000279192,0.0006386006,0.0004580732,0.0007802128,0.0003390478],"domain_scores_gemma":[0.9982041,0.00024045,0.0005865387,0.0006154449,0.0001610145,0.0001924918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001995341,0.0004972774,0.9357252,0.0001079366,0.0001939196,0.0001006537,0.01033633,0.000005020551,0.00005865872,0.00002549757,0.04911543,0.003634606],"study_design_scores_gemma":[0.0008936254,0.002929534,0.9635838,0.001206629,0.0001377385,0.000006645441,0.01928657,0.0002892832,0.0000422218,0.0001969016,0.01120775,0.0002193169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8438001,0.02548294,0.00002739007,0.1292456,0.0003501074,0.000642973,0.0002124805,0.00001819968,0.0002202367],"genre_scores_gemma":[0.9934794,0.004362436,0.00007319853,0.001314025,0.00009773357,0.00004903708,0.0003809717,0.00001823508,0.0002249838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1496793,"threshold_uncertainty_score":0.9996418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2435989426792018,"score_gpt":0.4304591820014136,"score_spread":0.1868602393222118,"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."}}