{"id":"W4283651122","doi":"10.1007/s10597-022-01000-1","title":"Young Adults’ Mental Health and Unmet Service Needs in the Context of the COVID-19 Pandemic Across Canada and France","year":2022,"lang":"en","type":"article","venue":"Community Mental Health Journal","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Simon Fraser University; British Columbia Centre on Substance Use; BC Centre for Disease Control; University of British Columbia","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche; Michael Smith Health Research BC","keywords":"Mental health; Pandemic; Context (archaeology); Odds; Young adult; Medicine; Coronavirus disease 2019 (COVID-19); Gerontology; Public health; Needs assessment; Environmental health; Logistic regression; Psychiatry; Nursing; Geography; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009625312,0.0003025202,0.0005384735,0.00177674,0.0042942,0.003748862,0.001278581,0.001283243,0.003271155],"category_scores_gemma":[0.00284916,0.0003490633,0.0008607944,0.003430479,0.00163054,0.001386664,0.002971274,0.002171626,0.0002040622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.064615,"about_ca_system_score_gemma":0.05504173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934368,"about_ca_topic_score_gemma":0.9971951,"domain_scores_codex":[0.9978833,0.0002355278,0.0000786811,0.0001179502,0.0002854018,0.001399223],"domain_scores_gemma":[0.9961706,0.000201805,0.0005041916,0.00003396236,0.001073454,0.002016002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002799428,0.0001485827,0.9468225,0.0001531127,0.000213734,0.000867873,0.02450696,0.0005001961,0.0002222686,0.002413039,0.008664365,0.01520744],"study_design_scores_gemma":[0.00001068286,0.00003759095,0.9460917,0.0002003082,0.00002895599,0.0001161936,0.04797644,0.0002066182,0.0000345135,0.000115842,0.005149627,0.00003159793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834468,0.002381509,0.00005357289,0.007331416,0.00006604714,0.00004325921,0.002151315,0.000009875382,0.004516186],"genre_scores_gemma":[0.9945192,0.00134527,0.00009276923,0.0009444132,0.00002646034,0.00002834925,0.0007750058,0.000006794832,0.00226167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.064615,"threshold_uncertainty_score":0.4688169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08991868025131192,"score_gpt":0.4261367064173455,"score_spread":0.3362180261660336,"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."}}