{"id":"W2134896952","doi":"10.1016/j.jcjd.2016.04.004","title":"WITHDRAWN: Performance of Community Blood Glucose Meters in Calgary, Alberta: An Analysis of Quality Assurance Data","year":2016,"lang":"en","type":"retraction","venue":"Canadian Journal of Diabetes","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":2,"is_retracted":true,"has_abstract":false,"ca_institutions":"University of Calgary; Calgary Laboratory Services","funders":"","keywords":"Glucose meter; Medicine; Quality assurance; Guideline; Metre; Diabetes mellitus; Blood glucose monitoring; Pathology; External quality assessment; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":{"nature":"Retraction","reason":"Notice - Limited or No Information;","date":"6/6/2016 0:00","openalex_flagged":true},"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01089887,0.001833912,0.001982593,0.003821043,0.003278807,0.004571765,0.005196448,0.013735,0.00827625],"category_scores_gemma":[0.1718932,0.001421046,0.002307031,0.003740431,0.00264568,0.001288684,0.00174961,0.01644312,0.005432902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01437795,"about_ca_system_score_gemma":0.03431157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3568052,"about_ca_topic_score_gemma":0.3197333,"domain_scores_codex":[0.9842491,0.001298729,0.003850491,0.000822077,0.008581505,0.001198123],"domain_scores_gemma":[0.9041459,0.02703335,0.004503177,0.003125323,0.056277,0.004915293],"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":[0.00003641321,0.00001452975,0.0008498644,0.0001089522,0.00003235717,0.0003014118,0.00009342306,0.00006606882,0.00006575227,0.0002699661,0.9908124,0.007348875],"study_design_scores_gemma":[0.0002297114,0.00007443396,0.03484346,0.001275605,0.0002748488,0.0009368867,0.0006030704,0.0007993188,0.0005141339,0.0008229869,0.9595029,0.0001227316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.002938728,0.003696046,0.0006121907,0.4172169,0.5640059,0.0001839426,0.003845162,0.0004918072,0.007009355],"genre_scores_gemma":[0.0326378,0.007132244,0.004097768,0.6292468,0.1927792,0.0004996009,0.004766502,0.0008270163,0.1280131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6431948,"threshold_uncertainty_score":0.7094567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03774751499101799,"score_gpt":0.3113697381891892,"score_spread":0.2736222231981712,"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."}}