{"id":"W2118854406","doi":"10.1177/193229681200600321","title":"Analysis of an Electrochemical Blood Glucose Monitoring System with Hematocrit Compensation: Improved Accuracy by Design","year":2012,"lang":"en","type":"letter","venue":"Journal of Diabetes Science and Technology","topic":"Diabetes Management and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Hematocrit; Glucose meter; Medicine; Compensation (psychology); Diabetes mellitus; Blood glucose monitoring; Internal medicine; Psychology; 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":[0.003315716,0.0008079369,0.000977783,0.0005380579,0.0004755246,0.001589597,0.001406816,0.004453239,0.0005863285],"category_scores_gemma":[0.00990141,0.0004381961,0.0005454856,0.000507063,0.0009253316,0.0010364,0.0004508785,0.002978564,0.001346044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254704,"about_ca_system_score_gemma":0.0004600017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004747423,"about_ca_topic_score_gemma":0.0008922457,"domain_scores_codex":[0.993445,0.002001326,0.0005425359,0.0006368679,0.003187074,0.0001871991],"domain_scores_gemma":[0.9948038,0.002792734,0.0003791761,0.0002722246,0.001666263,0.00008568778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002519205,0.0006426647,0.01951307,0.001152962,0.0001718459,0.01004242,0.001245697,0.001511018,0.3207675,0.005338477,0.07748096,0.5596142],"study_design_scores_gemma":[0.0008722726,0.005556564,0.01621883,0.000293661,0.0004653739,0.07603747,0.0004438988,0.07242852,0.5560636,0.007824496,0.2633379,0.0004574579],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1409746,0.01346623,0.6628824,0.1509762,0.01564593,0.001028357,0.0003441684,0.003631961,0.0110501],"genre_scores_gemma":[0.4707781,0.006829106,0.422456,0.07902314,0.007412857,0.0008874846,0.0002397983,0.00038931,0.01198424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004453239,"threshold_uncertainty_score":0.01753539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486304791608271,"score_gpt":0.2726373192860631,"score_spread":0.2577742713699803,"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."}}