{"id":"W4409667294","doi":"10.3390/psychiatryint6020050","title":"CMHSU: An R Statistical Software Package to Detect Mental Health Status, Substance Use Status, and Their Concurrent Status in the North American Healthcare Administrative Databases","year":2025,"lang":"en","type":"article","venue":"Psychiatry International","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Health care; Mental health; Software package; Statistical software; Substance use; Software; R package; Computer science; Database; Medicine; Data science; Psychiatry; Political science","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":[0.0004744794,0.0002095146,0.0002835586,0.0001400341,0.0006117755,0.0002247082,0.0003210203,0.00002740291,0.00006186913],"category_scores_gemma":[0.0003625898,0.0001644536,0.00003781288,0.0004366009,0.0003438851,0.0003639609,0.00005439642,0.0003166538,0.00000357255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005065758,"about_ca_system_score_gemma":0.002177844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07627545,"about_ca_topic_score_gemma":0.8056061,"domain_scores_codex":[0.9969485,0.0006808582,0.000480905,0.0004552166,0.0005005366,0.0009339444],"domain_scores_gemma":[0.9982036,0.0007149215,0.0001689653,0.0002319418,0.0001099108,0.0005706361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009965265,0.0001173786,0.8774414,0.00004746144,0.00002126779,0.000001205397,0.01715121,0.000001525762,7.307978e-8,0.0787098,0.005351891,0.02105711],"study_design_scores_gemma":[0.000356659,0.0001676994,0.8513079,0.00008235625,0.000002688344,5.049296e-7,0.04109496,0.00001824079,3.607814e-7,0.0004987432,0.1063277,0.0001421593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914046,0.001087638,0.004130178,0.06142229,0.002353079,0.001043387,0.01568086,0.0000653773,0.0001712006],"genre_scores_gemma":[0.9717177,0.002350213,0.005334301,0.01931938,0.0001666076,0.00007491485,0.0009696441,0.00001288166,0.00005441251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7293306,"threshold_uncertainty_score":0.9298757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05537433470213227,"score_gpt":0.4171474533459689,"score_spread":0.3617731186438367,"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."}}