{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003131293,0.0002628957,0.0003354037,0.002200464,0.0002645921,0.0007426108,0.0003733252,0.0003060533,0.0007277847],"category_scores_gemma":[0.01004462,0.0001646596,0.0005566953,0.003491252,0.0002829422,0.0007034332,0.0006514222,0.0004028583,0.0001446337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004621846,"about_ca_system_score_gemma":0.0004143904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006317223,"about_ca_topic_score_gemma":0.007934923,"domain_scores_codex":[0.9983771,0.0005394084,0.0002439125,0.0004016056,0.0003351351,0.0001029325],"domain_scores_gemma":[0.9901854,0.005330901,0.002874948,0.0006481045,0.000725471,0.0002352018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003388232,0.00006482186,0.9773476,0.00009182256,0.000189258,0.0001142648,0.0005851348,0.001896616,0.0007874381,0.0002055968,0.0003860142,0.01799278],"study_design_scores_gemma":[0.000008895119,0.0001456429,0.9727353,0.00003474645,0.00006450619,0.0003467847,0.001081919,0.02320048,0.0004501267,0.0008979067,0.001012841,0.00002083537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909208,0.0002599067,0.005970997,0.0001513607,0.00001131197,0.00003718167,0.002083516,0.00003485711,0.0005301301],"genre_scores_gemma":[0.9931079,0.00009766198,0.004498449,0.00002628058,0.00001378325,0.00004496838,0.002101365,0.000008950909,0.0001007184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006317223,"threshold_uncertainty_score":0.01656002,"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."}}