{"id":"W4394762137","doi":"10.5811/westjem.18327","title":"Characteristics for Low, High and Very High Emergency Department Use for Mental Health Diagnoses from Health Records and Structured Interviews.","year":2024,"lang":"en","type":"article","venue":"PubMed","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research","keywords":"Emergency department; Medicine; Mental health; Medical diagnosis; Logistic regression; Depression (economics); Gerontology; Family medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005690299,0.0001961998,0.0001235488,0.0009721052,0.0005313486,0.0003263421,0.000356553,0.0002885324,0.003676189],"category_scores_gemma":[0.003279181,0.0001225089,0.0003688218,0.001361643,0.0002262731,0.0002105068,0.0004099188,0.0004004461,0.0002866116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488465,"about_ca_system_score_gemma":0.002101875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2308302,"about_ca_topic_score_gemma":0.3803885,"domain_scores_codex":[0.9994722,0.0001114677,0.00008873776,0.00007119394,0.0001205973,0.0001358482],"domain_scores_gemma":[0.9977748,0.0003419972,0.001174481,0.00006411985,0.0003745177,0.0002700927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007212778,0.00003842166,0.996035,0.0000385897,0.00001901845,0.00004956429,0.0004380057,0.00004435294,0.000155288,0.0000183037,0.001163408,0.001928019],"study_design_scores_gemma":[0.000004404182,0.0000213724,0.9989881,0.00001214309,0.000004169835,0.0000511078,0.0005079723,0.00007221528,0.00002527369,0.000004698647,0.0003057337,0.000002915243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835376,0.000153135,0.0001672168,0.0001487149,0.000009044441,0.0002134294,0.01463677,0.00001231819,0.001121852],"genre_scores_gemma":[0.9928221,0.00007245707,0.0003615099,0.00009776972,0.000004914808,0.0002447048,0.005842926,0.000002569206,0.0005509437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2308302,"threshold_uncertainty_score":0.4589732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03342107193684821,"score_gpt":0.3011331869131814,"score_spread":0.2677121149763332,"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."}}