{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001434779,0.0001438444,0.0003203756,0.001165379,0.0002595118,0.00005818134,0.0001040189,0.0001239451,0.0003611187],"category_scores_gemma":[0.000270244,0.0001405325,0.0000612902,0.0006403188,0.0001527895,0.0008534835,0.0001166077,0.0006038877,0.00003640568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009265409,"about_ca_system_score_gemma":0.0003730642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759811,"about_ca_topic_score_gemma":0.009381693,"domain_scores_codex":[0.9981484,0.0002430577,0.0008816831,0.0002449505,0.0002134997,0.00026841],"domain_scores_gemma":[0.9987615,0.0004293191,0.0003402735,0.0001021783,0.00004617088,0.000320575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004063963,0.0003066685,0.9141603,0.0001875211,0.00008557471,0.00009292173,0.04121239,0.00006236625,0.00005953179,0.0306756,0.008408573,0.004342204],"study_design_scores_gemma":[0.002231515,0.0003153753,0.9691728,0.0003372356,0.00001313943,0.0004275894,0.009460324,0.001258549,4.598386e-7,0.007065469,0.009572704,0.0001448676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756227,0.002179443,0.001935905,0.01867231,0.0007922489,0.0002603151,0.00005419108,0.00001516074,0.0004677339],"genre_scores_gemma":[0.9957091,0.0006898141,0.0002226,0.001161294,0.00006392472,0.00001069509,0.000009990349,0.00001324375,0.002119312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05501252,"threshold_uncertainty_score":0.5730748,"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."}}