{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050785,0.0001718711,0.0003422647,0.0003449886,0.0002805869,0.00001818154,0.0002167419,0.00004244877,0.00004049889],"category_scores_gemma":[0.00003283893,0.000123127,0.00003390144,0.00112757,0.00002285582,0.00007091618,0.00009649399,0.000324063,0.00001949158],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002198661,"about_ca_system_score_gemma":0.01249968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985457,"about_ca_topic_score_gemma":0.9989286,"domain_scores_codex":[0.9975138,0.000180006,0.0006065318,0.0002831455,0.0005072325,0.0009093247],"domain_scores_gemma":[0.9988209,0.00008789377,0.0001871152,0.0003739678,0.00006431187,0.0004658097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001115453,0.0000407943,0.7766651,0.002214968,0.00002502331,0.000066494,0.01447799,0.000003199456,0.000009176752,0.002798128,0.04308369,0.1605039],"study_design_scores_gemma":[0.00139788,0.0002056,0.946656,0.0002609541,0.000004859894,0.00005344282,0.009330206,0.0001153883,0.00001883947,0.0007068883,0.04115228,0.00009759038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5163543,0.0002711614,2.668605e-7,0.4818546,0.0002108166,0.0008914041,0.0001492307,0.00006330938,0.0002049421],"genre_scores_gemma":[0.8803756,0.001264723,0.00001250454,0.1170563,0.0006181828,0.0000954124,0.0004551138,0.00002815648,0.00009404799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3647983,"threshold_uncertainty_score":0.9930986,"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."}}