{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004450854,0.00009634501,0.0002178421,0.0005129786,0.0005311863,0.0006188792,0.0003356977,0.0001960258,0.001971026],"category_scores_gemma":[0.001996728,0.0001025055,0.0003040765,0.001315686,0.0004382899,0.0003473687,0.000646972,0.0003610716,0.00007578853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003025052,"about_ca_system_score_gemma":0.003420411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.692875,"about_ca_topic_score_gemma":0.7521185,"domain_scores_codex":[0.9994929,0.00005391859,0.00002651665,0.00007001394,0.0001006302,0.0002558813],"domain_scores_gemma":[0.9987295,0.00009353659,0.0006766372,0.0000402765,0.000164175,0.0002958801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004254462,0.0000142555,0.9975146,0.00001045288,0.00003262233,0.0000239418,0.00007986518,0.00003346504,0.00003384162,0.00008833502,0.0001728652,0.001953069],"study_design_scores_gemma":[0.000002172686,0.000005144487,0.9996613,0.000009359265,0.000008396899,0.0000129523,0.00007970753,0.00007105051,0.0000101661,0.00002600768,0.0001126377,0.000001062374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971673,0.0006673382,0.0000422788,0.0003628024,0.00000528324,0.000005636651,0.0007858739,0.000002859991,0.0009606624],"genre_scores_gemma":[0.9996046,0.0001120247,0.0000136866,0.00002550945,0.000003547723,0.000001221702,0.0001495826,4.376604e-7,0.00008942776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.692875,"threshold_uncertainty_score":0.6178675,"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."}}