{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005263502,0.00009191829,0.000131496,0.0002969527,0.000197875,0.00008357422,0.0007519933,0.00001718774,0.0006430891],"category_scores_gemma":[0.00001987321,0.00009151983,0.00005196997,0.0004543265,0.00007615657,0.0003120601,0.0001805026,0.000207172,0.0000080148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450453,"about_ca_system_score_gemma":0.0006692494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3345917,"about_ca_topic_score_gemma":0.9033815,"domain_scores_codex":[0.9971215,0.00004395211,0.0005447346,0.0001701097,0.001910601,0.0002091302],"domain_scores_gemma":[0.9993153,0.00004947275,0.0004124327,0.0000492587,0.00007931786,0.00009425158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001332015,0.0000848144,0.9741216,0.000005086015,0.00001627045,0.0004709006,0.0001831088,0.006256172,0.000550788,0.0009744293,0.0007791654,0.01642444],"study_design_scores_gemma":[0.001243165,0.00006952002,0.9689051,0.00004069454,0.000008639735,0.0009538185,0.02125718,0.00263518,0.002683631,0.0006746795,0.001345979,0.0001824444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919394,0.0001241901,0.00009192432,0.00003198236,0.003823668,0.00009407477,0.00002670511,0.000005865314,0.0038622],"genre_scores_gemma":[0.9992905,0.00001583412,0.00003355906,0.0004539925,0.0001211128,0.000007255029,0.00001754951,0.000006632557,0.00005361585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5687897,"threshold_uncertainty_score":0.7041374,"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."}}