{"id":"W4367849805","doi":"10.12927/hcq.2023.27058","title":"Filling Data Gaps in Access to Mental Health and Substance Use Services","year":2023,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Health Information","funders":"","keywords":"Mental health; Substance use; Best practice; Business; Nursing; Medicine; Psychology; Psychiatry; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.067926,0.0005669844,0.001488052,0.01064827,0.00477622,0.006629048,0.004775512,0.001633773,0.005195309],"category_scores_gemma":[0.1963315,0.0009516136,0.0009182291,0.01718152,0.003222146,0.005377761,0.007999228,0.002820153,0.0008369344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03124156,"about_ca_system_score_gemma":0.1020322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7528133,"about_ca_topic_score_gemma":0.7667668,"domain_scores_codex":[0.9444631,0.0169918,0.01088015,0.00368128,0.01822806,0.005755652],"domain_scores_gemma":[0.7010082,0.1554451,0.02762301,0.01477604,0.08984236,0.01130537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000522448,0.0003200554,0.3604552,0.00739366,0.0004550751,0.0006301421,0.02959087,0.002232411,0.0007252145,0.03190887,0.1862893,0.3794768],"study_design_scores_gemma":[0.0001646404,0.0002562148,0.3372096,0.02200056,0.000463391,0.0006940787,0.07120285,0.005234594,0.002622058,0.03205375,0.5277824,0.000315779],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3055561,0.03340023,0.02354548,0.3416942,0.002783612,0.001980852,0.1758548,0.0008183673,0.1143665],"genre_scores_gemma":[0.8665823,0.01431383,0.0314717,0.03271884,0.0006700666,0.001651956,0.04897997,0.0002094553,0.003401831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7528133,"threshold_uncertainty_score":0.4972849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.177077584630139,"score_gpt":0.4854420748677499,"score_spread":0.3083644902376109,"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."}}