{"id":"W4389724163","doi":"10.2337/cd23-0083","title":"Sensor-Derived A1C: A New and Better Term","year":2023,"lang":"en","type":"article","venue":"Clinical Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Citation; Icon; License; Computer science; Library science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003709349,0.001127019,0.00143682,0.001647468,0.002127997,0.002962978,0.003004126,0.02023452,0.03537724],"category_scores_gemma":[0.0277206,0.0005730496,0.001345192,0.001484995,0.002694179,0.004267292,0.001272502,0.02812595,0.02823461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004300944,"about_ca_system_score_gemma":0.005310901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01342822,"about_ca_topic_score_gemma":0.01915056,"domain_scores_codex":[0.9973787,0.0007392379,0.0003875209,0.0003476021,0.0008923411,0.0002546181],"domain_scores_gemma":[0.9822207,0.008113555,0.0007910589,0.0004182405,0.006382998,0.002073386],"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":[0.00001847384,0.000003241967,0.00001840694,0.00007460508,0.000002603985,0.00004252081,0.000009995088,0.000005056731,0.00001410375,0.0003052904,0.996065,0.003440854],"study_design_scores_gemma":[0.0000411777,0.00001783519,0.0001856266,0.0009306871,0.0000177842,0.0002076249,0.0000910318,0.000030047,0.00005673869,0.001015241,0.9973872,0.0000189803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0000830424,0.02238231,0.0001498836,0.6608922,0.3100576,0.00002206082,0.000284207,0.00007042269,0.006058294],"genre_scores_gemma":[0.001399555,0.02068184,0.0002362291,0.6152354,0.3422383,0.00006197615,0.0002469313,0.00006255224,0.01983712],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03537724,"threshold_uncertainty_score":0.1183487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0985036917080547,"score_gpt":0.4063784180393626,"score_spread":0.3078747263313079,"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."}}