{"id":"W2998741056","doi":"10.1093/aje/161.supplement_1.s137","title":"545: Socioeconomic Status and Ethnicity as Predictors of Arthritis in the Population: A Multi Level Model","year":2005,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Socioeconomic status; Ethnic group; Medicine; Demography; Population; Arthritis; Environmental health; Internal medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01195867,0.002783833,0.003459836,0.002053319,0.001841571,0.004092792,0.004868219,0.003584529,0.007616512],"category_scores_gemma":[0.01193966,0.002051534,0.006767776,0.001509881,0.001157113,0.002073177,0.002900216,0.005035057,0.00123141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617298,"about_ca_system_score_gemma":0.003233496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03112201,"about_ca_topic_score_gemma":0.02171546,"domain_scores_codex":[0.9927811,0.00517551,0.0002280224,0.0008387881,0.0003832726,0.0005932376],"domain_scores_gemma":[0.9889941,0.007292339,0.0006651227,0.0007463285,0.0009713011,0.001330768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01046244,0.003767042,0.6970971,0.0002650692,0.01630267,0.0009860566,0.001012163,0.2269342,0.001067573,0.006420672,0.01046333,0.02522179],"study_design_scores_gemma":[0.001017118,0.001386781,0.06888099,0.0001135817,0.00344198,0.0003111001,0.0004390232,0.9164087,0.0001742597,0.006702296,0.0009554826,0.0001686903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428467,0.001544092,0.04217729,0.007458104,0.0007539151,0.0002901724,0.002821901,0.0002992168,0.001808533],"genre_scores_gemma":[0.9757043,0.0006935449,0.01512055,0.0005052721,0.0004834208,0.0004102479,0.002019752,0.00006604186,0.00499682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03112201,"threshold_uncertainty_score":0.06324428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05848047223017652,"score_gpt":0.3653089180420623,"score_spread":0.3068284458118858,"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."}}