{"id":"W2591867139","doi":"10.17269/cjph.107.5454","title":"Investigating the “inverse care law” in dental care: A comparative analysis of Canadian jurisdictions","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Family medicine; Dental care; Health care; Confidence interval; Descriptive statistics; Logistic regression; Population; Oral health; Demography; Environmental health; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007589004,0.0002398222,0.0007798263,0.006058085,0.01497716,0.006922266,0.003755858,0.002430505,0.004884462],"category_scores_gemma":[0.03971529,0.0004731319,0.0008279174,0.01746919,0.01099624,0.002378766,0.005696844,0.0028443,0.0001063273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1262095,"about_ca_system_score_gemma":0.1672011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929947,"about_ca_topic_score_gemma":0.9968404,"domain_scores_codex":[0.9819871,0.002851329,0.0005931996,0.001160634,0.007244005,0.006163819],"domain_scores_gemma":[0.9646895,0.0128622,0.005243174,0.001334731,0.01216152,0.003708919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003950196,0.0003693398,0.5962875,0.0008219025,0.0005047556,0.001463912,0.0999252,0.001788999,0.0005599831,0.2267331,0.01459634,0.05655378],"study_design_scores_gemma":[0.0000607354,0.0001109214,0.8225656,0.0009242934,0.0003702406,0.0002793607,0.1409813,0.0008122732,0.000238859,0.003822142,0.02973003,0.0001042273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304314,0.00577287,0.000368399,0.01124422,0.0000634211,0.0001031317,0.0005819257,0.000007191554,0.05142738],"genre_scores_gemma":[0.9976956,0.0007855255,0.0001300374,0.0007731766,0.000008875198,0.00001203294,0.00008256401,0.000003446423,0.0005086136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1262095,"threshold_uncertainty_score":0.9157183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06428466251470938,"score_gpt":0.3322409411724905,"score_spread":0.2679562786577811,"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."}}