{"id":"W2987685506","doi":"10.1093/geroni/igz038.1282","title":"EDUCATION, RACE-ETHNICITY, AND MULTI-MORBIDITY AMONG ADULTS AGES 30-64 IN THE NATIONAL HEALTH INTERVIEW STUDY","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Socioeconomic status; Ethnic group; Odds; National Health Interview Survey; Demography; Medicine; Gerontology; Race (biology); Population; Bachelor; Odds ratio; Logistic regression; Environmental health; Geography","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":[0.0009964032,0.0001890498,0.0002909184,0.0008192012,0.0004912416,0.0004162427,0.0003369955,0.0004021916,0.002016738],"category_scores_gemma":[0.002650651,0.0002652983,0.00044984,0.001172856,0.0001290501,0.0004497939,0.000589046,0.0009419866,0.0003347541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003202589,"about_ca_system_score_gemma":0.0005177549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02517827,"about_ca_topic_score_gemma":0.05058687,"domain_scores_codex":[0.9994889,0.000134421,0.00008621162,0.00007073972,0.0001326648,0.00008701524],"domain_scores_gemma":[0.998804,0.0001622784,0.0005043677,0.00008167281,0.0001835953,0.0002641038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002918371,0.00005218708,0.9978921,0.00001967668,0.00006743323,0.00001954015,0.00007645734,0.00002703189,0.00004334192,0.00002724969,0.001000011,0.0007457286],"study_design_scores_gemma":[0.000003634337,0.00001243411,0.9994677,0.00001486032,0.00001468858,0.0000177993,0.000127582,0.00005369253,0.000009738111,0.00001686886,0.000258912,0.000002040868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975763,0.001206912,0.0002232949,0.0008091942,0.00008243849,0.0001270939,0.01865982,0.00001364881,0.003114532],"genre_scores_gemma":[0.9912928,0.0005852462,0.0002677687,0.000288734,0.00003356864,0.0001833484,0.006327456,0.000003874262,0.001017179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02517827,"threshold_uncertainty_score":0.05006343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08715438356115657,"score_gpt":0.4146680200875708,"score_spread":0.3275136365264142,"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."}}