{"id":"W2218230559","doi":"10.1111/ijpp.12228","title":"Community pharmacy-based A1c screening: a Canadian model for diabetes care","year":2015,"lang":"en","type":"article","venue":"International Journal of Pharmacy Practice","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Medicine; Pharmacy; Community pharmacy; Diabetes mellitus; Family medicine; Intensive care medicine; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002196668,0.0001892127,0.000373815,0.0004156674,0.0001272103,0.0001128097,0.0005465984,0.00004091519,0.00004367824],"category_scores_gemma":[0.003104516,0.0001783774,0.0004592138,0.0001165448,0.00006146055,0.0008786329,0.00004823153,0.0008204214,0.00002564498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005039921,"about_ca_system_score_gemma":0.002401834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04162868,"about_ca_topic_score_gemma":0.004723388,"domain_scores_codex":[0.9977212,0.0003103079,0.0005007161,0.0001326814,0.001022673,0.0003124504],"domain_scores_gemma":[0.9934827,0.0003680337,0.0004670934,0.0002294428,0.004658173,0.0007945295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01670517,0.00217322,0.02443244,0.0004616196,0.01211174,0.001303655,0.010546,0.06279162,0.002549476,0.0001125741,0.1081531,0.7586594],"study_design_scores_gemma":[0.02136535,0.0002280143,0.000297569,0.0001520159,0.00123661,0.0002570216,0.001347656,0.1455144,0.007896647,0.00007167223,0.8214222,0.0002108238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8362635,0.008633427,0.05789617,0.07577986,0.004882679,0.001915821,0.0008143428,0.0001189585,0.01369528],"genre_scores_gemma":[0.9642137,0.00005396086,0.02517571,0.009121392,0.001185698,0.00002411074,0.00008681446,0.00004396035,0.00009465794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7584486,"threshold_uncertainty_score":0.9647532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1192033287227811,"score_gpt":0.4036556976240709,"score_spread":0.2844523689012898,"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."}}