{"id":"W4386547681","doi":"10.12927/hcpol.2023.27159","title":"E-Mental Health Services in Canada: Can They Close the Access Gap?","year":2023,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University Health Network; Institute of Health Services and Policy Research","funders":"University of Toronto","keywords":"Mental health; Context (archaeology); Mental healthcare; Business; Pandemic; Coronavirus disease 2019 (COVID-19); Health care; Public relations; Medicine; Political science; Economic growth; Psychiatry; Geography; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007217151,0.0004809874,0.0006632149,0.002226626,0.008920751,0.009699252,0.003235084,0.004714866,0.01980955],"category_scores_gemma":[0.04106906,0.0003797877,0.001047294,0.004243104,0.004283695,0.005699116,0.005279954,0.004993838,0.000874174],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1068775,"about_ca_system_score_gemma":0.3829679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989843,"about_ca_topic_score_gemma":0.9952518,"domain_scores_codex":[0.9892469,0.001663138,0.0003752726,0.0004558257,0.003458874,0.004799901],"domain_scores_gemma":[0.9673807,0.005284701,0.001212941,0.0004827272,0.009628761,0.01601017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003523485,0.0005475702,0.06407348,0.002543126,0.0001562194,0.001087168,0.00691296,0.001080233,0.0005238067,0.1007519,0.4415153,0.380456],"study_design_scores_gemma":[0.0003347176,0.000239505,0.1806838,0.009828097,0.0002704483,0.0005075712,0.0296758,0.00304721,0.0005316189,0.02127367,0.7532932,0.0003143522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.036098,0.02009102,0.0007773732,0.8789129,0.001444098,0.0001682771,0.001594208,0.00009824486,0.06081592],"genre_scores_gemma":[0.674378,0.04719163,0.006852212,0.2392264,0.001474438,0.0003689041,0.001673066,0.0001889654,0.02864648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8931225,"threshold_uncertainty_score":0.7754542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06309250215745349,"score_gpt":0.4312005617228812,"score_spread":0.3681080595654277,"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."}}