{"id":"W4323275641","doi":"10.1016/j.healthpol.2023.104758","title":"Trajectories of the socioeconomic gradient of mental health: Results from the CLSA COVID-19 Questionnaire Study","year":2023,"lang":"en","type":"article","venue":"Health Policy","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; McGill University Health Centre; University of Calgary; McMaster University; Dalhousie University","funders":"Canadian Institutes of Health Research; Government of Canada; Public Health Agency; Public Health Agency of Canada; McMaster University","keywords":"Feeling; Mental health; Anxiety; Socioeconomic status; Inequality; Demography; Pandemic; Longitudinal study; Body mass index; Coronavirus disease 2019 (COVID-19); Medicine; Psychology; Gerontology; Psychiatry; Disease; Environmental health; Population; Internal medicine; Social psychology; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002077294,0.0001812502,0.0004430644,0.0001385741,0.0006953274,0.000007198636,0.0004259617,0.00007578026,0.00007383052],"category_scores_gemma":[0.0002677131,0.0001221741,0.0001326015,0.0005114198,0.0002738698,0.00003358245,0.0001344278,0.0002710812,0.00008352123],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826353,"about_ca_system_score_gemma":0.005828328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5113702,"about_ca_topic_score_gemma":0.05572376,"domain_scores_codex":[0.9962929,0.001315984,0.001106912,0.0004060893,0.0002609057,0.0006171307],"domain_scores_gemma":[0.9972812,0.0007268922,0.0007763124,0.0008261988,0.00002651466,0.0003629107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0008836606,0.001032806,0.1510159,0.0005246802,0.0001362016,0.000001957241,0.5776951,0.00003153261,0.00001031764,0.02048026,0.230271,0.01791655],"study_design_scores_gemma":[0.003249295,0.001007398,0.9047447,0.00009129061,0.000008671929,0.000003411581,0.03110325,0.00001448084,0.000006116219,0.001268725,0.05839252,0.0001100884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7088754,0.0008019003,0.000004702975,0.2847211,0.001580495,0.001848318,0.001919218,0.00008125486,0.0001676144],"genre_scores_gemma":[0.9673817,0.0003935576,0.000005951719,0.03099035,0.0004254628,0.00008833621,0.00007975552,0.00002403147,0.0006109299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7537289,"threshold_uncertainty_score":0.9998077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1237094868893268,"score_gpt":0.4942734383311622,"score_spread":0.3705639514418354,"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."}}