{"id":"W4386559660","doi":"10.12927/hcpol.2023.27158","title":"Commentary: Minding the Gap in Access to Mental Health Services – Calling for Smart Funding, Not Just More Funding","year":2023,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"","keywords":"Mental health; Coronavirus disease 2019 (COVID-19); Mental health care; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Grant funding; 2019-20 coronavirus outbreak; Public relations; Health care; Political science; Psychology; Business; Medicine; Public administration; Psychiatry; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001514479,0.0002650465,0.0005065588,0.001014085,0.0007746983,0.00007084912,0.0002912712,0.0000836473,0.00002792067],"category_scores_gemma":[0.00007946492,0.0002186088,0.00008597264,0.001737879,0.00003621607,0.0001940271,0.000179098,0.0003306206,0.00002510633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263316,"about_ca_system_score_gemma":0.000558813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07501296,"about_ca_topic_score_gemma":0.02664899,"domain_scores_codex":[0.9966007,0.0001358548,0.0008755072,0.0004649791,0.0004868823,0.001436096],"domain_scores_gemma":[0.9983264,0.0002753639,0.0002645198,0.0003563488,0.00008134642,0.0006960593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009398598,0.0001600966,0.6049554,0.01051129,0.00009958543,0.00003173548,0.08001231,0.00003825078,0.0003357322,0.003682351,0.1866016,0.1126318],"study_design_scores_gemma":[0.007259849,0.001916653,0.5778679,0.002957688,0.00005481369,0.00008246647,0.06430627,0.002882589,0.0005215285,0.000331509,0.3412832,0.0005355164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4109677,0.0001201739,0.00006137285,0.5853429,0.0004005017,0.002738664,0.000202486,0.0001231644,0.00004300832],"genre_scores_gemma":[0.7364182,0.0002532017,0.0003782846,0.2601999,0.001247213,0.0004070961,0.0009472881,0.00005534,0.00009345145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3254505,"threshold_uncertainty_score":0.9911121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2193875649779791,"score_gpt":0.5109842046359607,"score_spread":0.2915966396579817,"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."}}