{"id":"W4393618506","doi":"10.2139/ssrn.4777350","title":"A Data-Driven Personalized Approach to Predict Blood Glucose Levels in  Type-1 Diabetes Patients Exercising in Free-Living Conditions","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Type 2 diabetes; Diabetes mellitus; Internal medicine; Medicine; Type 1 diabetes; Diabetes treatment; 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":[0.001111122,0.000623771,0.00107616,0.001196364,0.0002900063,0.001170437,0.0008515599,0.001156087,0.001418569],"category_scores_gemma":[0.004179643,0.0003313171,0.0009460683,0.001099821,0.000168663,0.0005995458,0.0007016373,0.001093988,0.0004501227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00050019,"about_ca_system_score_gemma":0.0007384609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009037443,"about_ca_topic_score_gemma":0.01081335,"domain_scores_codex":[0.999435,0.0001599964,0.00004509766,0.0002074651,0.0000841468,0.00006823741],"domain_scores_gemma":[0.9981134,0.001340918,0.0001002806,0.000134802,0.0001915298,0.0001190868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00230565,0.002207392,0.1961326,0.000222588,0.0008556449,0.0007997568,0.0002162406,0.466873,0.003663845,0.002174879,0.008348241,0.3162001],"study_design_scores_gemma":[0.0000348326,0.0001318959,0.01091953,0.00001000248,0.00006835206,0.00007398927,0.00004601614,0.9852785,0.0004887905,0.002515423,0.0004187191,0.0000139763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7088938,0.001381957,0.2716542,0.003142518,0.0003805166,0.000301499,0.00951362,0.002226894,0.002504952],"genre_scores_gemma":[0.9617457,0.0001836155,0.03279174,0.0002680598,0.0001267622,0.0000980733,0.003684929,0.00003177252,0.001069307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009037443,"threshold_uncertainty_score":0.01796967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0356508587048109,"score_gpt":0.3097270476754426,"score_spread":0.2740761889706317,"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."}}