{"id":"W2144448863","doi":"10.1177/193229681100500426","title":"Preanalytic and Analytic Accuracy: Toward More Realistic and Meaningful Self-Monitoring of Blood Glucose Submissions for Regulatory Approval","year":2011,"lang":"en","type":"letter","venue":"Journal of Diabetes Science and Technology","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"","keywords":"Blood Glucose Self-Monitoring; Continuous glucose monitoring; Blood glucose monitoring; Diabetes mellitus; Medicine; Computer science; Type 1 diabetes; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.08852471,0.0006088821,0.00111324,0.001172241,0.003043326,0.008974642,0.002803397,0.02439865,0.00290719],"category_scores_gemma":[0.2482148,0.0006129187,0.000898149,0.0007582931,0.008449609,0.004683736,0.002154659,0.02290341,0.005444109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004898702,"about_ca_system_score_gemma":0.007192252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530302,"about_ca_topic_score_gemma":0.002428201,"domain_scores_codex":[0.8533965,0.05981867,0.01553082,0.005954046,0.06264083,0.002659114],"domain_scores_gemma":[0.7078893,0.175452,0.01999328,0.01210313,0.0800868,0.004475608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005135264,0.0002395887,0.008797769,0.0004581937,0.00007836375,0.003162419,0.002104764,0.0005023494,0.008416261,0.02763342,0.7354949,0.2125984],"study_design_scores_gemma":[0.0002684391,0.0008161505,0.008678519,0.001102924,0.00008783293,0.01081111,0.001391932,0.006292036,0.01324643,0.04304387,0.9140431,0.0002177075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005366548,0.003621175,0.03191008,0.9235891,0.01625271,0.0002636531,0.00007593526,0.0005423132,0.01837849],"genre_scores_gemma":[0.1055705,0.002885673,0.05180335,0.7853647,0.03905887,0.0005809548,0.0001671233,0.0003782675,0.01419062],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08852471,"threshold_uncertainty_score":0.468169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194501315756228,"score_gpt":0.2228514796778012,"score_spread":0.2109064665202389,"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."}}