{"id":"W4412587433","doi":"10.1177/23743735251362529","title":"Exploring Factors That Drive Nonurgent Emergency Department Use","year":2025,"lang":"en","type":"article","venue":"Journal of Patient Experience","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas College","funders":"","keywords":"Emergency department; Medicine; Overcrowding; Triage; Medical emergency; Demographics; Health care; Trauma center; Family medicine; Primary care; Emergency medicine; Nursing; Retrospective cohort study","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001507616,0.0001621873,0.0002291481,0.0006282329,0.0007839738,0.001342879,0.0003749261,0.000415241,0.0032946],"category_scores_gemma":[0.01221944,0.0001769905,0.0003995135,0.0005408963,0.0005604135,0.000905746,0.001147491,0.0008423124,0.0001501092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005204511,"about_ca_system_score_gemma":0.001275255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004737882,"about_ca_topic_score_gemma":0.007966456,"domain_scores_codex":[0.9982679,0.000878105,0.0001829802,0.0000824626,0.0002922558,0.0002961673],"domain_scores_gemma":[0.9919996,0.004200729,0.002100903,0.0001441983,0.0005789668,0.0009754942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004558979,0.0002400415,0.9724469,0.00008486645,0.00003532619,0.0003898878,0.0182954,0.00004532063,0.0001519451,0.0001616707,0.0004740602,0.007629012],"study_design_scores_gemma":[0.000009135362,0.0002253839,0.8507008,0.0001248717,0.0000242231,0.0008445261,0.1456389,0.0003366533,0.0001189816,0.0001677012,0.001792039,0.00001680104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986901,0.0001254506,0.0000570207,0.0004218396,0.000005235052,0.00001080277,0.00003435512,0.000001129389,0.0006541241],"genre_scores_gemma":[0.999506,0.0001622907,0.00008732273,0.0001057936,0.000006305388,0.000006930009,0.00002791353,7.352062e-7,0.00009670272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004737882,"threshold_uncertainty_score":0.01102149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158826780292242,"score_gpt":0.3331969938315268,"score_spread":0.2173143158023026,"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."}}