{"id":"W4386472700","doi":"10.33921/kheb9671","title":"In Sickness and in Wealth: Mental Health, Income Levels, and COVID-19","year":2023,"lang":"en","type":"article","venue":"Journal of Interpersonal Relations Intergroup Relations and Identity","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Mental health; Worry; Social distance; Socioeconomic status; Social isolation; Distress; Anxiety; Psychology; Pandemic; Affect (linguistics); Psychiatry; Loneliness; Coronavirus disease 2019 (COVID-19); Demography; Medicine; Clinical psychology; Environmental health; Population; Disease; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004927534,0.0001642995,0.0001871637,0.001063152,0.00281276,0.00116614,0.0004007387,0.0002300156,0.003351481],"category_scores_gemma":[0.001964802,0.00009362137,0.0002277228,0.001265904,0.0009388005,0.0004937979,0.001506304,0.000731555,0.0001118268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005823962,"about_ca_system_score_gemma":0.007073609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8150334,"about_ca_topic_score_gemma":0.9299549,"domain_scores_codex":[0.9995323,0.00005813679,0.00001692453,0.00002709528,0.0001406105,0.0002249439],"domain_scores_gemma":[0.999172,0.00003779062,0.00022259,0.00001738739,0.00013238,0.0004179353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004616495,0.00005525669,0.9842796,0.00002459357,0.00002714035,0.00008003402,0.004669842,0.00003294315,0.00009339843,0.0004914144,0.001210672,0.008988852],"study_design_scores_gemma":[8.245199e-7,0.000009688123,0.9916667,0.00002377436,0.000004690968,0.00002259542,0.007297305,0.00002314933,0.00001043924,0.00005218195,0.0008849841,0.000003597521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908906,0.0010217,0.00004087458,0.001390353,0.00002778404,0.00002139361,0.0004774227,0.000002484467,0.006127414],"genre_scores_gemma":[0.9989905,0.000262502,0.00003207223,0.00006916677,0.000006229112,0.000003344668,0.0001144424,8.979588e-7,0.00052094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8150334,"threshold_uncertainty_score":0.3721117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05700381014213875,"score_gpt":0.4388147253766702,"score_spread":0.3818109152345315,"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."}}