{"id":"W4311681041","doi":"10.22215/etd/2022-15331","title":"Oral Health Access and Inequities in Rural Regions","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Psychological intervention; Socioeconomic status; Closing (real estate); Equity (law); Environmental health; Dental insurance; Water fluoridation; Health promotion; Oral health; Health equity; Public health; Medicine; Health care; Dental care; Nursing; Family medicine; Business; Economic growth; Population; Political science","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":[0.0006543906,0.0001243345,0.0002625162,0.00151261,0.001711956,0.00147627,0.0003433017,0.0001862551,0.003257177],"category_scores_gemma":[0.002040383,0.0001566898,0.0002389763,0.003194261,0.0008622335,0.0005039136,0.001163405,0.0002814834,0.00009282159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006021934,"about_ca_system_score_gemma":0.00746189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7670226,"about_ca_topic_score_gemma":0.8841898,"domain_scores_codex":[0.999385,0.00008270863,0.00002875558,0.00007875436,0.0002054586,0.0002192962],"domain_scores_gemma":[0.9992808,0.0001379365,0.000277449,0.00002804989,0.0001560588,0.0001197587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001398623,0.0001070826,0.8587224,0.0008647739,0.0001448469,0.0005509868,0.04463215,0.0002787338,0.0008300799,0.003372792,0.002559937,0.08779643],"study_design_scores_gemma":[0.000003853238,0.00003546181,0.9738445,0.0002562911,0.00002829077,0.0001319334,0.0189016,0.00007967601,0.00004463847,0.0003438045,0.006322655,0.000007289686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844728,0.003424248,0.00007485873,0.001010721,0.000009131035,0.00002628059,0.0008757655,0.000003898045,0.01010233],"genre_scores_gemma":[0.9963461,0.002334953,0.00007842957,0.00008181263,0.00000732206,0.00001564177,0.0002020222,0.000001933866,0.0009318166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7670226,"threshold_uncertainty_score":0.4686989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04818866903629705,"score_gpt":0.4178232841641409,"score_spread":0.3696346151278438,"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."}}