{"id":"W1634566841","doi":"10.1111/j.1741-2358.2011.00540.x","title":"Assessing the oral health of an ageing population: methods, challenges and predictors of survey participation","year":2011,"lang":"en","type":"article","venue":"Gerodontology","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Dalhousie University","funders":"Institute of Musculoskeletal Health and Arthritis; Canadian Institutes of Health Research; Health Canada; Nova Scotia Health Research Foundation","keywords":"Medicine; Logistic regression; Telephone interview; Population; Gerontology; Cross-sectional study; Telephone survey; Observational study; Family medicine; Oral examination; Demography; Oral health; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04509272,0.0005515615,0.0005506809,0.001700483,0.0009794557,0.001181485,0.001205384,0.0007603978,0.0007504255],"category_scores_gemma":[0.05573285,0.0003430639,0.0004167618,0.002107903,0.0008971337,0.0009153206,0.001321581,0.0005719218,0.0003408726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009899772,"about_ca_system_score_gemma":0.004922424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082788,"about_ca_topic_score_gemma":0.03514455,"domain_scores_codex":[0.957647,0.03177508,0.002431968,0.001109385,0.006303575,0.0007330124],"domain_scores_gemma":[0.9750466,0.01183757,0.005973351,0.001907529,0.004630947,0.0006041051],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007929784,0.0001558286,0.9670324,0.000390872,0.00007063147,0.00004849669,0.002232483,0.0001759498,0.000385557,0.0001806692,0.0003700269,0.02887777],"study_design_scores_gemma":[0.00002809486,0.000601266,0.9905061,0.000416716,0.0000690645,0.0002560279,0.003248194,0.0011622,0.0005161897,0.0003605396,0.002809147,0.00002644771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479887,0.003828047,0.03394992,0.002119645,0.00009085279,0.005551716,0.001592771,0.00005312781,0.004825193],"genre_scores_gemma":[0.96007,0.002074308,0.0279073,0.0003891432,0.0000936575,0.007402407,0.000884761,0.00001183505,0.00116655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9549073,"threshold_uncertainty_score":0.2384759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.695662550645604,"score_gpt":0.570210217725605,"score_spread":0.125452332919999,"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."}}