{"id":"W4412853431","doi":"10.1002/jper.11378","title":"Multi‐cohort evaluation of “Don't know” responders to self‐report oral health questions: Implications for etiologic research","year":2025,"lang":"en","type":"article","venue":"Journal of Periodontology","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Dental and Craniofacial Research; National Institute of Child Health and Human Development; National Cancer Institute; National Institutes of Health","keywords":"Medicine; Cohort; Observational study; National Health and Nutrition Examination Survey; Cohort study; Family medicine; Population; Educational attainment; Oral health; Periodontitis; Demography; Environmental health; Gerontology; Dentistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3063022,0.001045025,0.001482834,0.002844351,0.00288337,0.003420072,0.004077849,0.00275295,0.001703484],"category_scores_gemma":[0.3469565,0.001168506,0.004176314,0.002952113,0.003141641,0.003070228,0.003412158,0.001765914,0.0003923242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853731,"about_ca_system_score_gemma":0.002976905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008661365,"about_ca_topic_score_gemma":0.007913096,"domain_scores_codex":[0.6987071,0.253536,0.01341037,0.01260222,0.01846198,0.00328224],"domain_scores_gemma":[0.576861,0.2656549,0.06908426,0.06526545,0.02037498,0.002759472],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007426168,0.0002328587,0.9866744,0.00028008,0.00164709,0.0001127729,0.002521338,0.0004517235,0.0002430205,0.0007743881,0.0005181328,0.005801601],"study_design_scores_gemma":[0.0001689429,0.001129482,0.9825084,0.000455396,0.001032445,0.0003513945,0.003071885,0.005811913,0.001115081,0.001645004,0.002631746,0.000078153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597033,0.002077571,0.02812528,0.001848431,0.0004942645,0.001901765,0.001997218,0.0001042464,0.003747934],"genre_scores_gemma":[0.9871256,0.0002387469,0.008303975,0.0007573012,0.00007455706,0.002300583,0.0007383011,0.00004281655,0.0004181504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6936978,"threshold_uncertainty_score":0.8554529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6008182833750653,"score_gpt":0.6542290460785696,"score_spread":0.05341076270350431,"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."}}