{"id":"W2042081671","doi":"10.1177/1932296814554415","title":"The Chronic Injury Glucose Error Grid","year":2014,"lang":"en","type":"article","venue":"Journal of Diabetes Science and Technology","topic":"Diabetes Management and Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; Alberta Health Services","funders":"","keywords":"Medicine; Grid; Diabetes mellitus; Observational error; Glucose meter; Computer science; Error analysis; Statistics; Mathematics; 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":[0.008455819,0.0008168817,0.000899983,0.002671672,0.001214408,0.003715285,0.002257037,0.000905928,0.01260021],"category_scores_gemma":[0.03323245,0.0003906899,0.0007205259,0.005158549,0.0008545137,0.001904581,0.003300852,0.001704384,0.003082115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660664,"about_ca_system_score_gemma":0.004421534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0278906,"about_ca_topic_score_gemma":0.01463866,"domain_scores_codex":[0.9884063,0.002768391,0.001505366,0.001838698,0.004856735,0.0006246004],"domain_scores_gemma":[0.9608553,0.00618209,0.005713487,0.006366789,0.01967108,0.001211149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003097697,0.0005946303,0.29766,0.0008213386,0.0003689011,0.0005162317,0.0009833338,0.05961576,0.001618216,0.08179716,0.1403965,0.4125302],"study_design_scores_gemma":[0.0006109737,0.001551413,0.2477647,0.001361358,0.0003000979,0.001321592,0.001834565,0.2040529,0.009385768,0.1012571,0.4301001,0.0004594777],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2273581,0.002313348,0.4797224,0.006285538,0.001396112,0.003248136,0.09374079,0.008543946,0.1773915],"genre_scores_gemma":[0.6614227,0.001117168,0.2486865,0.002339356,0.0003173796,0.002137528,0.05995808,0.001093467,0.02292785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0278906,"threshold_uncertainty_score":0.05545652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008220544779683226,"score_gpt":0.2843126398269604,"score_spread":0.2760920950472772,"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."}}