{"id":"W4388638401","doi":"10.1177/23294965231215081","title":"Race, Socioeconomic Status, and Long COVID","year":2023,"lang":"en","type":"article","venue":"Social Currents","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Socioeconomic status; Demography; Odds; Race (biology); Odds ratio; Ethnic group; Coronavirus disease 2019 (COVID-19); Logistic regression; Health equity; Gerontology; Medicine; Geography; Public health; Sociology; Population; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00107486,0.000150068,0.0001953434,0.0006547684,0.000681188,0.0006428405,0.0003132552,0.0003037998,0.003657201],"category_scores_gemma":[0.007458384,0.0001314708,0.000340573,0.0006462042,0.0003589836,0.0006293902,0.0009976147,0.0008217656,0.0002888828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004022716,"about_ca_system_score_gemma":0.0004274438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007326423,"about_ca_topic_score_gemma":0.0147932,"domain_scores_codex":[0.9993808,0.0001978751,0.00006541809,0.00006404727,0.0001223005,0.0001695194],"domain_scores_gemma":[0.9944422,0.0009356785,0.002709642,0.0002177908,0.0004494661,0.001245343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000417555,0.0000423227,0.9980658,0.000005418494,0.00002414844,0.00002851456,0.00009414414,0.00001197771,0.00003028703,0.00007916836,0.00008548386,0.001491215],"study_design_scores_gemma":[0.000001197038,0.00004461616,0.9991114,0.00001439007,0.0000130093,0.00006068706,0.000277146,0.00006800383,0.00002724612,0.00005369786,0.00032546,0.000003131955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960889,0.0005061576,0.0001425383,0.0003852332,0.00003314293,0.000007931032,0.0003364099,0.000003056222,0.002496817],"genre_scores_gemma":[0.9992944,0.0001198264,0.00005415304,0.00004292217,0.0000188595,0.000005760311,0.0001560924,0.000001376897,0.0003066858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007326423,"threshold_uncertainty_score":0.01456755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289400142690166,"score_gpt":0.3541481990893898,"score_spread":0.3312541976624881,"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."}}