{"id":"W1887938724","doi":"10.1176/appi.ps.201400363","title":"Variables Associated With Perceived Unmet Need for Mental Health Care in a Canadian Epidemiologic Catchment Area","year":2015,"lang":"en","type":"article","venue":"Psychiatric Services","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research","keywords":"Mental health; Multinomial logistic regression; Information needs; Logistic regression; Disadvantaged; Medicine; Needs assessment; Catchment area; Perception; Family medicine; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005586005,0.0001553676,0.000375191,0.0001877607,0.00009924196,0.00001192614,0.0001568521,0.0000845616,0.00009323153],"category_scores_gemma":[0.00006070714,0.0001179019,0.0000381638,0.00051412,0.00001993776,0.00005051335,0.000009992232,0.0001187595,0.00003964112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006954139,"about_ca_system_score_gemma":0.001716479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2083897,"about_ca_topic_score_gemma":0.3714721,"domain_scores_codex":[0.9986007,0.00008668051,0.0003227741,0.0003046268,0.0002105558,0.000474655],"domain_scores_gemma":[0.9987321,0.00006305489,0.0001897378,0.0002264116,0.0001491154,0.0006395388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003080019,0.0001896978,0.9653338,0.0003062616,0.00007954689,0.000003499171,0.006334753,0.00004357262,0.000004635016,0.0001888896,0.02662151,0.000585824],"study_design_scores_gemma":[0.01153578,0.002892888,0.8735997,0.0005122236,0.0001352005,0.00002633217,0.05236068,0.00498292,0.00000367465,0.0008067569,0.05262295,0.0005208897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941377,0.00569192,0.00007444493,0.04394884,0.0005362388,0.00219914,0.00014073,0.00008785706,0.005943794],"genre_scores_gemma":[0.9805472,0.0001013486,0.003224946,0.01466913,0.00009132698,0.0001958185,0.0007965674,0.00001482134,0.000358826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1630824,"threshold_uncertainty_score":0.7968817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04191366364935196,"score_gpt":0.3259431839592966,"score_spread":0.2840295203099447,"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."}}