{"id":"W2187457361","doi":"","title":"Effects of income and dental insurance coverage on need for dental care in Canada.","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre","funders":"","keywords":"Medicine; Residence; Odds ratio; Dental insurance; Multinomial logistic regression; Confidence interval; Odds; Dental care; Health insurance; Demography; Logistic regression; Household income; Environmental health; Oral health; Health care; Family medicine; Geography","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":[0.001529286,0.0005614014,0.0005320051,0.001728364,0.002271865,0.001392249,0.001503477,0.0006066883,0.003462041],"category_scores_gemma":[0.007098646,0.0004383883,0.001539151,0.002763381,0.0008107345,0.0004546181,0.00164068,0.001341735,0.000210149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02979444,"about_ca_system_score_gemma":0.03781339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943547,"about_ca_topic_score_gemma":0.9950829,"domain_scores_codex":[0.998016,0.0002242261,0.0001263433,0.0002242518,0.0007965641,0.000612587],"domain_scores_gemma":[0.9949946,0.0004775652,0.001567957,0.000133725,0.001399908,0.001426269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008187257,0.0000271914,0.9949276,0.00003634654,0.0001358989,0.00004892669,0.0001305874,0.0001264815,0.00002820244,0.0001182496,0.001012849,0.003325687],"study_design_scores_gemma":[0.000009525023,0.00001481112,0.998284,0.00004856328,0.00007176359,0.00004887285,0.0002460705,0.000561551,0.00002013684,0.0000566246,0.0006305227,0.000007572914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768838,0.006156459,0.0002845461,0.002384612,0.00005631206,0.00008028532,0.009166656,0.00004101996,0.004946115],"genre_scores_gemma":[0.9966593,0.0008122486,0.0002349226,0.0001250511,0.000008777364,0.00001378489,0.001372312,0.000007402541,0.0007662142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02979444,"threshold_uncertainty_score":0.2161748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004681979973262975,"score_gpt":0.2166858795187441,"score_spread":0.2120038995454811,"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."}}