{"id":"W4411213302","doi":"10.1007/s10488-025-01456-9","title":"Patterns and Disparities in Met Needs in Community Mental Health Services: Exploring the Utility of the Ontario Modified Met Needs Index","year":2025,"lang":"en","type":"article","venue":"Administration and Policy in Mental Health and Mental Health Services Research","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health; Canadian Mental Health Association; University of Toronto","funders":"","keywords":"Index (typography); Mental health; Gerontology; Psychology; Medicine; Computer science; Psychiatry; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004107412,0.0002213693,0.0005322927,0.003335218,0.002470944,0.00179283,0.001967652,0.0005833099,0.001660173],"category_scores_gemma":[0.01868633,0.0003529722,0.0008238201,0.009010664,0.001257087,0.001557059,0.003409372,0.000934259,0.0000878736],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02042286,"about_ca_system_score_gemma":0.02460188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9418198,"about_ca_topic_score_gemma":0.9633943,"domain_scores_codex":[0.9962508,0.0008614126,0.0004236357,0.0003820447,0.001211786,0.0008703365],"domain_scores_gemma":[0.9931979,0.001388316,0.002074808,0.0003286443,0.001882705,0.001127623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006256562,0.00004062047,0.9917034,0.00002280439,0.00004735492,0.00001256493,0.00269266,0.0000476361,0.00002947976,0.000647064,0.0006613102,0.004032435],"study_design_scores_gemma":[0.000006836351,0.00002142864,0.992514,0.00003722253,0.00001972616,0.00001167124,0.00592265,0.0005480032,0.0000217659,0.000228461,0.0006588794,0.000009353947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940195,0.0002902047,0.0001694463,0.001065475,0.00001213395,0.0000541001,0.001717809,0.000003965372,0.002667297],"genre_scores_gemma":[0.9986538,0.0001190721,0.0002686339,0.00009055589,0.000004842369,0.00004296601,0.0005960055,0.000004822879,0.0002192436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9795771,"threshold_uncertainty_score":0.1481789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1308472780034103,"score_gpt":0.505132082528858,"score_spread":0.3742848045254478,"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."}}