{"id":"W4416527731","doi":"10.1177/0265539x251400595","title":"Socioeconomic inequalities in the association between secondhand smoke exposure and tooth loss in Brazil","year":2025,"lang":"en","type":"article","venue":"Community dental health","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Logistic regression; Socioeconomic status; Secondhand smoke; Dentition; Cross-sectional study; Tooth loss; Association (psychology); Oral health; Social class","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":[0.001952522,0.00007404416,0.0002217686,0.0001297277,0.0002138258,0.00003132933,0.0001015667,0.00009696295,0.00001520757],"category_scores_gemma":[0.00004713311,0.00006595845,0.00002393404,0.0001150694,0.00004217625,0.00008367499,0.00005060451,0.0006932219,0.00000103684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007917864,"about_ca_system_score_gemma":0.0001369485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008311032,"about_ca_topic_score_gemma":0.01010707,"domain_scores_codex":[0.9986742,0.0007124423,0.000278786,0.00007257209,0.0001020862,0.000159981],"domain_scores_gemma":[0.9992146,0.0004505822,0.00008825948,0.0002023883,0.00001473521,0.00002939906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000149906,0.00008960035,0.98539,0.0001376006,0.000007607788,9.263421e-7,0.009868092,2.190089e-7,0.000002717504,0.0001875552,0.0001416951,0.004158996],"study_design_scores_gemma":[0.001367541,0.0001103868,0.9812595,0.0001278847,0.00001354753,0.000002752051,0.01638823,0.000002045723,0.00003073722,0.0005388317,0.0001133568,0.00004514387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960319,0.0001906612,0.000003418577,0.002659863,0.00008040118,0.0002698466,0.00002130766,0.00001417836,0.0007284193],"genre_scores_gemma":[0.9971914,0.0001003907,0.000003467163,0.002380252,0.00002641556,0.0000160652,0.0001355855,0.000004893172,0.0001414741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006520141,"threshold_uncertainty_score":0.9982927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05583377754223298,"score_gpt":0.374760841210123,"score_spread":0.31892706366789,"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."}}