{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002412219,0.0004803748,0.0003252091,0.001746603,0.005176603,0.003783703,0.002351344,0.0009062919,0.004597764],"category_scores_gemma":[0.004954768,0.0003570232,0.0007154428,0.005294469,0.001796035,0.001224458,0.002792088,0.001441907,0.0005993733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05859296,"about_ca_system_score_gemma":0.146085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867365,"about_ca_topic_score_gemma":0.9923127,"domain_scores_codex":[0.9954668,0.0009715988,0.000140701,0.0005392356,0.002174918,0.0007066267],"domain_scores_gemma":[0.9953775,0.0002666121,0.0003466034,0.0001768053,0.002286669,0.001545764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006415402,0.001158495,0.4138667,0.001366967,0.0003272716,0.001352562,0.006100851,0.006933572,0.001829658,0.02809662,0.1169241,0.4214016],"study_design_scores_gemma":[0.0006267922,0.0008873122,0.7607778,0.001818797,0.0004927604,0.001622561,0.007433226,0.02105499,0.0007307224,0.006780573,0.1974582,0.0003163489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5218493,0.02026878,0.0398636,0.13984,0.00133884,0.004421433,0.01121702,0.001285057,0.2599159],"genre_scores_gemma":[0.9408506,0.009110861,0.02961164,0.007828175,0.0002221095,0.00038348,0.00160816,0.00008386288,0.01030122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05859296,"threshold_uncertainty_score":0.4251237,"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."}}