{"id":"W2118327793","doi":"10.1177/193229681100500129","title":"Analysis of the Performance of the CONTOUR® TS Blood Glucose Monitoring System: When Regulatory Performance Criteria are Met, Should We Have Confidence to Use a Medical Device with All Patients?","year":2011,"lang":"en","type":"letter","venue":"Journal of Diabetes Science and Technology","topic":"Diabetes Management and Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Glucose meter; Ambulatory; Medicine; Standardization; Blood Glucose Self-Monitoring; Food and drug administration; Reliability (semiconductor); Diabetes mellitus; Blood glucose monitoring; Continuous glucose monitoring; Metre; Emergency medicine; Intensive care medicine; Medical emergency; Operations management; Computer science; Internal medicine; Type 1 diabetes; Engineering; 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":[0.003691123,0.0004346525,0.0009270863,0.0005617563,0.001729157,0.002261001,0.001230787,0.02561883,0.002413999],"category_scores_gemma":[0.03915095,0.0003829156,0.0006537781,0.0007698276,0.002094318,0.003087466,0.0005995187,0.01779392,0.002804748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003280765,"about_ca_system_score_gemma":0.002001538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003541361,"about_ca_topic_score_gemma":0.005482945,"domain_scores_codex":[0.9950454,0.00171156,0.001072895,0.0004670805,0.001324062,0.000378966],"domain_scores_gemma":[0.9832124,0.009114046,0.002054243,0.0004965328,0.00392451,0.001198294],"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":[0.0002335118,0.0001937736,0.01907427,0.0001678358,0.00004356441,0.01740305,0.001046026,0.0002496592,0.001332401,0.003657905,0.88871,0.06788794],"study_design_scores_gemma":[0.0004476981,0.001204819,0.03118546,0.001501025,0.0001632118,0.08435512,0.005879329,0.004755404,0.00247089,0.0275983,0.840112,0.0003267274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003491818,0.0009995104,0.0003149343,0.9889277,0.003782866,0.00001076162,0.00002578227,0.00003210097,0.002414456],"genre_scores_gemma":[0.04359452,0.002450626,0.001299817,0.9282603,0.0212265,0.00003882731,0.00004572223,0.0000288455,0.00305482],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02561883,"threshold_uncertainty_score":0.02380371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440855307546434,"score_gpt":0.2762717961528846,"score_spread":0.2418632430774203,"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."}}