{"id":"W3092196497","doi":"10.1093/eurpub/ckaa165.986","title":"Comparing dental care coverage for older adults in eight jurisdictions","year":2020,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Population; Health care; Public health; Medicine; Minimum Data Set; Dental care; Environmental health; Geography; Demography; Family medicine; Political science; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.005164837,0.0003200727,0.0005682335,0.003662741,0.0006604528,0.0009980334,0.0009143941,0.0006250476,0.001115542],"category_scores_gemma":[0.02293318,0.000308548,0.001460665,0.004392785,0.0006176302,0.0008336707,0.002369924,0.0004758024,0.00009366682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003141108,"about_ca_system_score_gemma":0.002495867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.269513,"about_ca_topic_score_gemma":0.2880531,"domain_scores_codex":[0.9930988,0.003355064,0.0008282454,0.0008332533,0.001064027,0.0008206241],"domain_scores_gemma":[0.9877484,0.004011431,0.0037266,0.0007580811,0.002915288,0.0008400217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001416813,0.00004036967,0.9916068,0.0001737551,0.0007421527,0.0000634969,0.001125345,0.001212105,0.0001114116,0.0003551696,0.0004901719,0.003937518],"study_design_scores_gemma":[0.00001865045,0.000153989,0.994644,0.00009287764,0.0002847753,0.0000803333,0.002287145,0.001400028,0.00009107106,0.0001259053,0.0008085171,0.0000127443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996147,0.0004251169,0.0002263662,0.0000721297,0.000005811451,0.00007306931,0.002424252,0.000007542548,0.0006186602],"genre_scores_gemma":[0.9970614,0.0001493072,0.0004571736,0.00005398033,0.000003944269,0.0001149288,0.002062309,0.000002918229,0.00009405067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.269513,"threshold_uncertainty_score":0.5358886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05083709203822286,"score_gpt":0.314739099287525,"score_spread":0.2639020072493021,"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."}}