{"id":"W4405777912","doi":"10.1136/jech-2024-223202","title":"Race disparities in dental care use from adolescence to middle adulthood in the USA","year":2024,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ethnic group; Socioeconomic status; Medicine; Dental care; Multinomial logistic regression; Longitudinal study; Health care; Demography; Logistic regression; Young adult; Gerontology; Race (biology); Family medicine; Environmental health; Population","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":[0.0005781138,0.0000795184,0.0001508304,0.0005040966,0.0005143787,0.0004880118,0.0002262915,0.0001940064,0.001671407],"category_scores_gemma":[0.001264049,0.0001139912,0.000270628,0.0006650469,0.000145307,0.0002859715,0.0005905421,0.0004102376,0.0001817712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004168132,"about_ca_system_score_gemma":0.000665461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04911984,"about_ca_topic_score_gemma":0.09244319,"domain_scores_codex":[0.9997177,0.00006125608,0.00002456532,0.00006396483,0.00005942412,0.00007308873],"domain_scores_gemma":[0.9993274,0.00009644039,0.0002993989,0.000038133,0.0001162953,0.000122365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002186482,0.00003542279,0.9949104,0.000009725432,0.00002935227,0.00002019562,0.0003564243,0.00002804572,0.00007338086,0.0001030241,0.0004250141,0.003987017],"study_design_scores_gemma":[0.000001282261,0.00001079585,0.998913,0.00001640673,0.00001207477,0.00002718745,0.0003918039,0.0000685158,0.00003100966,0.00003995028,0.0004865873,0.000001338129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970378,0.0004011985,0.00007479818,0.0002856191,0.000007241621,0.000007852419,0.000988059,0.00000367827,0.001193825],"genre_scores_gemma":[0.998804,0.0003459617,0.00007518006,0.00008550687,0.000005592347,0.00001106577,0.0004979557,0.000001433021,0.000173285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04911984,"threshold_uncertainty_score":0.09766781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258317049108964,"score_gpt":0.417760486192449,"score_spread":0.2919287812815526,"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."}}