{"id":"W4414516322","doi":"10.1177/15209156251376012","title":"Carbohydrate Counting/Bolus Calculator Mobile Application Improves Time in Range in Adults with Type 1 Diabetes Subjects","year":2025,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"King Fahad Medical City","keywords":"Type 1 diabetes; Glycemic; Hypoglycemia; Diabetes mellitus; Calculator; 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":[0.0003581535,0.0002662157,0.0005138768,0.001268252,0.00005701735,0.00002779141,0.0003115276,0.0003760905,0.00001353274],"category_scores_gemma":[0.00003188461,0.0002226564,0.0000467101,0.002781894,0.0003268665,0.00008135023,0.0001405191,0.0005311381,0.00005483714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558059,"about_ca_system_score_gemma":0.000109787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000120798,"about_ca_topic_score_gemma":0.00005362842,"domain_scores_codex":[0.9981344,0.00004280905,0.000340033,0.0005018022,0.0002265922,0.0007543538],"domain_scores_gemma":[0.99899,0.0001012456,0.00009062141,0.0006071845,0.0001670892,0.00004388515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000136655,0.0003763099,0.8183005,0.0003638475,0.0002359017,0.000008648366,0.00008874998,0.00001369562,0.1083258,0.0001955992,0.00004801021,0.07190633],"study_design_scores_gemma":[0.01770059,0.003595538,0.6131489,0.003239551,0.0008875718,7.034121e-7,0.0007806708,0.09345571,0.2243487,0.004304058,0.03693742,0.001600545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919983,0.003751856,0.000004388986,0.001252383,0.0000930833,0.001727339,0.000003598995,0.0002655357,0.0009035225],"genre_scores_gemma":[0.9972757,0.0001533162,0.0001381075,0.0008151596,0.00002295932,0.0005691909,0.00004628292,0.00004410593,0.0009352275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2051516,"threshold_uncertainty_score":0.9079663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004722699055538042,"score_gpt":0.2515418245926627,"score_spread":0.2468191255371247,"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."}}