{"id":"W2141683598","doi":"10.1089/dia.2012.0051","title":"Advanced Meter Features Improve Postprandial and Paired Self-Monitoring of Blood Glucose in Individuals with Diabetes: Results of the Actions with the CONTOUR Blood Glucose Meter and Behaviors in Frequent Testers (ACT) Study","year":2012,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Bayer HealthCare","keywords":"Postprandial; Medicine; Glucose meter; Diabetes mellitus; Blood Glucose Self-Monitoring; Glycated hemoglobin; Insulin; Internal medicine; Blood glucose monitoring; Meal; Type 2 diabetes; Type 1 diabetes; Physiology; Endocrinology; Continuous glucose monitoring","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003477077,0.0002821954,0.0005951799,0.0002476374,0.00008371525,0.00001474969,0.0001890759,0.0002411713,7.995095e-7],"category_scores_gemma":[0.00006631007,0.0001512358,0.00005379145,0.0004288698,0.0004859318,0.0001217589,0.00009664185,0.0005407181,7.805927e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002514433,"about_ca_system_score_gemma":0.00004623393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002553965,"about_ca_topic_score_gemma":0.00007213121,"domain_scores_codex":[0.9983844,0.0001184251,0.0004456426,0.0003019944,0.0002624377,0.0004870804],"domain_scores_gemma":[0.9987347,0.0003814621,0.0002185966,0.0004766785,0.0001191381,0.00006938379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004673916,0.001603945,0.8901474,0.00003906948,0.0008269188,0.00000364674,0.00320247,5.020991e-7,0.1000931,0.00001304914,2.158824e-7,0.003602207],"study_design_scores_gemma":[0.01964686,0.006983052,0.7557467,0.0003244868,0.003460139,0.000007927567,0.004449136,0.000004419899,0.2090856,0.00003913977,0.00003136645,0.0002212172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943101,0.003300239,3.384802e-7,0.0008334611,0.00007869018,0.001374306,0.00004384657,0.00004132668,0.00001769098],"genre_scores_gemma":[0.9989406,0.0001363125,0.0005066694,0.0001575958,0.00002140215,0.0001997289,0.000003985184,0.00002867625,0.000004975462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344008,"threshold_uncertainty_score":0.6167215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122767892324575,"score_gpt":0.2611296692870002,"score_spread":0.2499019903637545,"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."}}