{"id":"W3126832074","doi":"10.1111/cdoe.12625","title":"Recency of immigration and utilization of dental care services in Canada","year":2021,"lang":"en","type":"article","venue":"Community Dentistry And Oral Epidemiology","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Victoria; McGill University Health Centre; McGill University; University of British Columbia","funders":"","keywords":"Medicine; Immigration; Demography; Logistic regression; Multinomial logistic regression; Odds; Dental care; Oral health; Ethnic group; Odds ratio; Community health; Dental health; Gerontology; Family medicine; Public health; Nursing; 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":[0.0007566862,0.0002399732,0.0003574443,0.001147253,0.00250983,0.001224829,0.001045719,0.0004017617,0.003671665],"category_scores_gemma":[0.00371254,0.0002377989,0.0005670192,0.002504211,0.0007727345,0.0003556798,0.001159078,0.0009990865,0.0001986659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0142879,"about_ca_system_score_gemma":0.02350635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896521,"about_ca_topic_score_gemma":0.9923866,"domain_scores_codex":[0.9990005,0.00007156466,0.00006823644,0.0001289965,0.0003648147,0.0003659426],"domain_scores_gemma":[0.996695,0.0001871392,0.001108459,0.0000745022,0.001055565,0.0008792841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004988754,0.00002713692,0.9938086,0.00004940452,0.00004863292,0.0000886767,0.0007182837,0.00006537537,0.00005086265,0.00009992244,0.0009498577,0.004043366],"study_design_scores_gemma":[0.000003501308,0.00001075741,0.9977512,0.00007336447,0.00001486641,0.00006357836,0.001163812,0.00009580995,0.00001815901,0.00001273181,0.0007862936,0.000005894936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904608,0.002445092,0.00006384669,0.0009846009,0.00003352991,0.0000264573,0.002301679,0.00000940589,0.003674514],"genre_scores_gemma":[0.9968659,0.001157412,0.0001004209,0.0001300843,0.00001255374,0.000008077411,0.0009048585,0.000004519068,0.0008161344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142879,"threshold_uncertainty_score":0.1036664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05527306475559133,"score_gpt":0.359090097541307,"score_spread":0.3038170327857156,"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."}}