{"id":"W2953021733","doi":"10.1111/dme.14051","title":"Universal drug coverage and income‐related disparities in glycaemic control","year":2019,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Work & Health; Institute for Clinical Evaluative Sciences; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Diabetes mellitus; Medical prescription; Population; Demography; Environmental health; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000294806,0.0001956633,0.0005525259,0.0002582139,0.00002422602,0.00001196263,0.00008937207,0.0000624296,0.001571329],"category_scores_gemma":[0.0001071505,0.0001600376,0.00003562856,0.0002459508,0.0002800193,0.0001072469,0.00005568472,0.0002362778,0.00008152423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303735,"about_ca_system_score_gemma":0.00008049489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003264403,"about_ca_topic_score_gemma":0.00002008389,"domain_scores_codex":[0.99866,0.00005835216,0.000325184,0.0003108981,0.0003139393,0.000331573],"domain_scores_gemma":[0.9991779,0.0002256331,0.00007347233,0.0003170132,0.00003156227,0.0001744105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003664978,0.0001491929,0.9668629,0.001240564,0.0002191088,0.0003457926,0.000801778,0.00006015893,0.0006711538,0.02376043,0.003596146,0.001926237],"study_design_scores_gemma":[0.03588301,0.0005160158,0.9482049,0.001871782,0.0004263901,0.00002088709,0.001603522,0.004080109,0.00003009976,0.003784466,0.003259708,0.0003191573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523004,0.001851658,0.00002261017,0.006242881,0.0002931719,0.0007540525,0.000007054721,0.00007281028,0.03845537],"genre_scores_gemma":[0.9934104,0.000346399,0.00000864016,0.0009969185,0.00006556489,0.00001232794,0.00005469071,0.00002186421,0.005083202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04111001,"threshold_uncertainty_score":0.9993414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006085778742645234,"score_gpt":0.2379074741810266,"score_spread":0.2318216954383814,"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."}}