{"id":"W3106946732","doi":"10.2337/dc20-1232","title":"A Meal Detection Algorithm for the Artificial Pancreas: A Randomized Controlled Clinical Trial in Adolescents With Type 1 Diabetes","year":2020,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Management and Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Montreal Children's Hospital; McGill University","funders":"","keywords":"Medicine; Interquartile range; Artificial pancreas; Crossover study; Meal; Bolus (digestion); Type 1 diabetes; Diabetes mellitus; Insulin; Randomized controlled trial; Internal medicine; Area under the curve; Insulin pump; Continuous glucose monitoring; Gastroenterology; Algorithm; Endocrinology; Pathology; Placebo; Mathematics","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":[0.001683759,0.000239715,0.001609392,0.0001201867,0.0001113157,0.00008640454,0.0001812406,0.0001456785,0.00002139108],"category_scores_gemma":[0.002453992,0.0001292627,0.0005584761,0.0004369153,0.0002236713,0.00006667392,0.00006580298,0.0004042063,0.00004027124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004328703,"about_ca_system_score_gemma":0.0001085952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003852533,"about_ca_topic_score_gemma":0.00001993189,"domain_scores_codex":[0.9973504,0.000467121,0.0007266228,0.000428098,0.0004768614,0.0005509059],"domain_scores_gemma":[0.9980662,0.0009899982,0.0001781926,0.0002481123,0.0003226536,0.0001947837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.6884869,0.0002489635,0.03496036,0.000330949,0.0007590785,0.00000582784,0.0002613309,0.000008374323,0.0001657843,0.000007523836,0.000143658,0.2746213],"study_design_scores_gemma":[0.9117232,0.003346894,0.003149884,0.0003298374,0.001132146,4.129716e-8,0.0006475598,0.07830544,0.0005553433,0.00004177599,0.000568393,0.000199478],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829592,0.001587043,0.0004264565,0.001277504,0.0007035172,0.01277108,0.00001601141,0.00009777962,0.0001613886],"genre_scores_gemma":[0.9957295,0.0000388792,0.0001990107,0.001031802,0.001413668,0.001457608,0.00004432902,0.00004284739,0.00004234587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2744218,"threshold_uncertainty_score":0.5271178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03961722879454259,"score_gpt":0.3269034935870624,"score_spread":0.2872862647925198,"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."}}