{"id":"W2021270624","doi":"10.1016/j.aca.2011.07.024","title":"Technology behind commercial devices for blood glucose monitoring in diabetes management: A review","year":2011,"lang":"en","type":"review","venue":"Analytica Chimica Acta","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":211,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Biotechnology Research Institute","funders":"National Research Council Canada; King Saud University; National University of Singapore","keywords":"Diabetes management; Chemistry; Miniaturization; Blood Glucose Self-Monitoring; Sample (material); Diabetes mellitus; Nanotechnology; Continuous glucose monitoring; Risk analysis (engineering); Business; Type 1 diabetes; Type 2 diabetes; Medicine; Chromatography; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001233851,0.001568384,0.002242449,0.002661559,0.0002938588,0.001268674,0.001444348,0.001802457,0.003070762],"category_scores_gemma":[0.001218555,0.0006563074,0.0008116211,0.003246752,0.0007756308,0.002233634,0.0007980719,0.001825208,0.003041083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000501799,"about_ca_system_score_gemma":0.001154684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006430583,"about_ca_topic_score_gemma":0.001008576,"domain_scores_codex":[0.9994654,0.00007139804,0.00008374004,0.0001256452,0.0002171554,0.00003658625],"domain_scores_gemma":[0.9991008,0.0004990089,0.0001250254,0.00002844093,0.0002108812,0.00003579444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001162858,0.0001486643,0.0002296396,0.02641921,0.0001149455,0.0003281297,0.00005728078,0.0003366767,0.01021169,0.003184546,0.01456051,0.9442925],"study_design_scores_gemma":[0.00003803322,0.0002595953,0.001008975,0.003497858,0.0003153899,0.002399422,0.0001018091,0.0002977083,0.007587517,0.002562363,0.9818683,0.00006300637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001838945,0.9980559,0.0007930671,0.0001418675,0.000182215,0.000007685895,0.00001930801,0.000008565721,0.000607522],"genre_scores_gemma":[0.0008801426,0.9969724,0.00103229,0.0001870368,0.000196304,0.00001149102,0.0000341734,0.000002879851,0.0006831514],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003070762,"threshold_uncertainty_score":0.01027274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354152856623834,"score_gpt":0.2733509038475919,"score_spread":0.2498093752813535,"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."}}