{"id":"W4321458878","doi":"10.1111/soc4.13081","title":"Health literacy and uptake of annual physical checkups among emerging adults in the United States: Findings from the Behavioral Risk Factor Surveillance System","year":2023,"lang":"en","type":"article","venue":"Sociology Compass","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Behavioral Risk Factor Surveillance System; Health literacy; Logistic regression; Odds; Literacy; Gerontology; Odds ratio; Risk factor; Health care; Behavioral risk; Public health; Medicine; Environmental health; Protective factor; Psychology; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002377066,0.0001094856,0.0004338508,0.00007163109,0.0001655083,0.000006881301,0.0001019459,0.00008873467,0.00000584213],"category_scores_gemma":[0.00005474374,0.00006807288,0.0001316904,0.0003032276,0.0001990702,0.00004069176,0.00003823643,0.0004561863,0.000008196218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006512245,"about_ca_system_score_gemma":0.00005436127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002330063,"about_ca_topic_score_gemma":0.0001203054,"domain_scores_codex":[0.9964979,0.002486529,0.0003555991,0.0002098487,0.0001867948,0.0002633877],"domain_scores_gemma":[0.9991233,0.000347847,0.0001564348,0.000236783,0.00007340461,0.00006217498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004952325,0.0001268343,0.8232385,0.000250269,0.0001120402,0.00001398975,0.1601446,0.00003659478,0.000007248226,0.00009507978,0.0005395105,0.01538582],"study_design_scores_gemma":[0.001199508,0.0001541264,0.9725823,0.0001780784,0.00002173702,0.000004253672,0.02124824,0.004182374,0.000001569211,0.00005411588,0.0003227094,0.00005098972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956713,0.0002477125,0.0002370347,0.002803453,0.0001233887,0.0005252663,0.0003270486,0.0000614677,0.000003370265],"genre_scores_gemma":[0.9989809,0.000185633,0.00001501991,0.0001863366,0.00009817145,0.0000339479,0.0004826962,0.00001020175,0.000007106337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1493438,"threshold_uncertainty_score":0.3522374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576116087689082,"score_gpt":0.3515331406188285,"score_spread":0.3257719797419377,"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."}}