{"id":"W4281626032","doi":"10.1016/j.diabres.2022.109323","title":"IDF21-0214 COVID-19 & Diabetes in Canada: Two Global Pandemics Colliding & An Opportunity For Optimizing Data-Driven Diabetes Care Delivery & Outcomes in British Columbia (BC)","year":2022,"lang":"en","type":"article","venue":"Diabetes Research and Clinical Practice","topic":"Diabetes Management and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetes mellitus; Pandemic; Health care; Family medicine; Intensive care medicine; Medical emergency; Disease; Coronavirus disease 2019 (COVID-19); Internal medicine; Economic growth; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00212093,0.0005234688,0.0004409632,0.0008212215,0.007335396,0.005958094,0.001339455,0.003530383,0.05524663],"category_scores_gemma":[0.004770959,0.0004384441,0.0005974088,0.001272142,0.001691099,0.0008979116,0.003022185,0.004338813,0.007593811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05315483,"about_ca_system_score_gemma":0.2321901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9829059,"about_ca_topic_score_gemma":0.9937608,"domain_scores_codex":[0.9974737,0.0001742585,0.00009921492,0.0001639651,0.0009627054,0.00112625],"domain_scores_gemma":[0.9845418,0.0005040215,0.0002900163,0.0001771433,0.004668852,0.009818173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009833738,0.0001064464,0.01447013,0.00006926451,0.00001535393,0.0002214067,0.0001831251,0.0002971631,0.000245051,0.002443152,0.9444199,0.0374306],"study_design_scores_gemma":[0.0002503768,0.0001422066,0.07799011,0.0005480657,0.00004844116,0.0002029258,0.003159809,0.001263912,0.0005167382,0.001637864,0.9141481,0.00009137208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03535261,0.003988519,0.00133365,0.5707192,0.009407028,0.000610862,0.03745417,0.001508652,0.3396253],"genre_scores_gemma":[0.1483486,0.006232142,0.009980232,0.1511971,0.002144522,0.0004721437,0.01987481,0.0007746549,0.6609759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05524663,"threshold_uncertainty_score":0.3856671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2640421195706106,"score_gpt":0.4825001854759259,"score_spread":0.2184580659053153,"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."}}