{"id":"W4313071535","doi":"10.22271/oral.2022.v8.i3d.1610","title":"Dental utilization among aging immigrants in Canada","year":2022,"lang":"en","type":"article","venue":"International Journal of Applied Dental Sciences","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Marital status; Dental insurance; Immigration; Medicine; Population; Descriptive statistics; Gerontology; Logistic regression; Health care; Dental care; Oral health; Household income; Socioeconomic status; Environmental health; 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":[0.0006319288,0.0002321094,0.0003562175,0.001463715,0.001879108,0.0007751959,0.0005449688,0.0002596633,0.001400594],"category_scores_gemma":[0.001364177,0.0001376187,0.0004750553,0.002553947,0.000392451,0.0002076685,0.0008111982,0.0003693327,0.0001392866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01227752,"about_ca_system_score_gemma":0.01836175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9800439,"about_ca_topic_score_gemma":0.987685,"domain_scores_codex":[0.999313,0.00005107379,0.00004628871,0.00007416579,0.0002634373,0.0002520244],"domain_scores_gemma":[0.9992041,0.00003811797,0.0001642829,0.0000167528,0.0003772712,0.0001996133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000868284,0.0000433348,0.9904398,0.00005882841,0.00004826566,0.00009365836,0.0006338079,0.00006738563,0.0001318796,0.00006540203,0.0007995648,0.007531337],"study_design_scores_gemma":[0.000006567896,0.00003241874,0.9970406,0.00004209151,0.00002122186,0.00006791771,0.001745716,0.0001767905,0.00004994136,0.00001349023,0.0007965935,0.00000659623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957055,0.0008374947,0.00003475815,0.0001642683,0.000007581427,0.00003029489,0.001868663,0.000004739298,0.001346602],"genre_scores_gemma":[0.9972488,0.0006785275,0.00008804759,0.0000966091,0.000005363173,0.00001327315,0.00132249,0.000002371475,0.0005444995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01995605,"threshold_uncertainty_score":0.08908004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831173371318668,"score_gpt":0.301642393161012,"score_spread":0.2833306594478254,"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."}}