{"id":"W2467655916","doi":"10.1177/0706743716664884","title":"How Much Do Mental Health and Substance Use/Addiction Affect Use of General Medical Services? Extent of Use, Reason for Use, and Associated Costs","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; Western University; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Odds ratio; Mental health; Odds; Health care; Addiction; Emergency department; Cross-sectional study; Emergency medicine; Psychiatry; Logistic regression; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004720384,0.0001615152,0.0004531601,0.0001699355,0.0001421509,0.00006373213,0.00008651696,0.0001166021,0.00001555591],"category_scores_gemma":[0.0002072825,0.00009234731,0.0001197849,0.0001390971,0.0001497717,0.0004941621,0.000005587684,0.000141495,1.46547e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003354166,"about_ca_system_score_gemma":0.001002411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006002257,"about_ca_topic_score_gemma":0.5114233,"domain_scores_codex":[0.9986671,0.0001284104,0.0004053525,0.0001452729,0.000362921,0.0002909407],"domain_scores_gemma":[0.9979704,0.0003025466,0.0006261837,0.0001902183,0.000225885,0.0006847637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004928808,0.00005025593,0.9884007,0.00004051397,0.0003659733,0.000009532233,0.0007251754,1.726462e-7,0.0001076126,0.0005012548,0.007012436,0.002293465],"study_design_scores_gemma":[0.006942451,0.000941693,0.9869386,0.002614242,0.0002605585,0.0002276359,0.0006252605,0.00004233434,0.0001612154,0.0001644707,0.0009527466,0.0001288183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784006,0.005053358,0.00002515265,0.01539368,0.0006143733,0.0003882051,0.0001173337,0.000005256094,0.000002053243],"genre_scores_gemma":[0.9954373,0.001791794,0.001569366,0.0007647822,0.0001544217,0.000003035715,0.00001678111,0.00002488727,0.0002376354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.505421,"threshold_uncertainty_score":0.9073657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679656323136217,"score_gpt":0.2714939037336288,"score_spread":0.2446973405022666,"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."}}