{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009708498,0.0002490601,0.0003177365,0.001304558,0.0004013456,0.0006660409,0.0003548106,0.0002745824,0.001979398],"category_scores_gemma":[0.003794549,0.0002719538,0.0006049342,0.001123803,0.0004437657,0.0002922514,0.0009548036,0.0004003129,0.0001087107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000714979,"about_ca_system_score_gemma":0.0006950857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09008323,"about_ca_topic_score_gemma":0.1068881,"domain_scores_codex":[0.9992736,0.0001778627,0.0000713246,0.0001347938,0.0001804627,0.0001619691],"domain_scores_gemma":[0.9986401,0.0003065415,0.0006435777,0.0001040594,0.0001426678,0.000163078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005064733,0.00003191224,0.9933531,0.00006775022,0.0001312572,0.00008823982,0.0005571527,0.00005256543,0.0003050984,0.0002846616,0.0001028683,0.00497466],"study_design_scores_gemma":[0.00000268306,0.00001833598,0.9988034,0.00005444955,0.00003762926,0.0001036471,0.0003127483,0.0001628265,0.00004053098,0.000115621,0.0003450727,0.000003031911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933972,0.003130157,0.0001982723,0.0005251328,0.00001037408,0.0000130096,0.0005175431,0.000005796652,0.002202474],"genre_scores_gemma":[0.9991964,0.0005464478,0.00005480085,0.00001671802,0.000004256361,0.000003571621,0.0000867008,0.000001266406,0.00008980874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09008323,"threshold_uncertainty_score":0.1791178,"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."}}