{"id":"W4402767184","doi":"10.2196/44384","title":"Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data","year":2024,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Diabetes Management and Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Bristol; UK Research and Innovation","keywords":"Preprint; Insulin delivery; Insulin; Type 1 diabetes; Diabetes mellitus; Type 2 diabetes; Medicine; Computer science; Data science; Internal medicine; Endocrinology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004686834,0.0001555541,0.0006430312,0.002019351,0.00001402642,0.00002374885,0.0003243051,0.00008844285,0.0004512884],"category_scores_gemma":[0.000125873,0.0001137222,0.00007440922,0.006399737,0.00007290021,0.0001617008,0.0002579098,0.0002014508,0.00001263551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004262063,"about_ca_system_score_gemma":0.0001537913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003152222,"about_ca_topic_score_gemma":0.0005038164,"domain_scores_codex":[0.9983637,0.00007550574,0.0004533776,0.0002871641,0.0005241662,0.0002961232],"domain_scores_gemma":[0.9987296,0.0001489669,0.00009118514,0.0007514838,0.000186668,0.0000921367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003722186,0.0006559339,0.9727747,0.00136506,0.003768668,0.00007085102,0.002689572,0.00009487543,0.004993906,0.00002149533,0.006663971,0.006528772],"study_design_scores_gemma":[0.002083764,0.0007126032,0.757162,0.0007287982,0.001706386,3.057859e-7,0.002005193,0.2330701,0.001399203,0.00001021365,0.0008969072,0.0002245426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969311,0.0009884525,0.00001525841,0.0004818295,0.00007697137,0.000456664,0.0001280546,0.000156377,0.000765282],"genre_scores_gemma":[0.9961684,0.00008624743,0.0001647199,0.0000436645,0.0000317468,0.00002242111,0.00207321,0.00002720227,0.001382432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2329752,"threshold_uncertainty_score":0.4941292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581564073894405,"score_gpt":0.3116129030302572,"score_spread":0.2857972622913132,"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."}}