{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008276379,0.0001230481,0.0003997065,0.002526314,0.0003807557,0.00006671757,0.000322624,0.00008934002,0.0002172388],"category_scores_gemma":[0.0002217825,0.00008826227,0.0001568976,0.002902186,0.0002538161,0.0003015514,0.000009965912,0.0002600664,0.00001376921],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003248696,"about_ca_system_score_gemma":0.01506732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8946416,"about_ca_topic_score_gemma":0.9998927,"domain_scores_codex":[0.9976454,0.0004333466,0.0008060379,0.0001487419,0.0002983198,0.0006681714],"domain_scores_gemma":[0.9957548,0.0001097277,0.0004849201,0.0002206851,0.00059904,0.002830858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002718168,0.00001064025,0.9516926,0.00006984756,0.0001724664,0.00007012566,0.02744098,0.0000888419,0.000007757078,0.008027678,0.00570578,0.006710504],"study_design_scores_gemma":[0.0007878378,0.000150773,0.8021161,0.0001925498,0.0001066965,0.00009751099,0.1029509,0.00009088955,0.00002026622,0.00005005144,0.09328545,0.0001510147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885571,0.001668097,0.00007912003,0.002461056,0.0007383974,0.0002276964,0.0006609162,0.000005056876,0.005602538],"genre_scores_gemma":[0.9978959,0.00003335438,0.0000687287,0.001780494,0.00008147056,0.000004628454,0.00005640025,0.000009394053,0.00006965618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1495766,"threshold_uncertainty_score":0.9905163,"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."}}