{"id":"W3158928172","doi":"10.2196/26909","title":"Improved Low-Glucose Predictive Alerts Based on Sustained Hypoglycemia: Model Development and Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration","keywords":"Generalizability theory; Hypoglycemia; Medicine; Continuous glucose monitoring; False positive rate; Robustness (evolution); Predictive modelling; Diabetes mellitus; Machine learning; Computer science; Statistics; Artificial intelligence; Type 1 diabetes; Mathematics; Endocrinology","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":[0.004546463,0.001402686,0.001266713,0.0007156487,0.0003563419,0.0008686119,0.001369623,0.0009647181,0.001331389],"category_scores_gemma":[0.008198705,0.0004055173,0.001394482,0.0005484055,0.0003355223,0.0006149142,0.0007666006,0.001702779,0.0002657218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376683,"about_ca_system_score_gemma":0.002391423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03830989,"about_ca_topic_score_gemma":0.01588878,"domain_scores_codex":[0.999191,0.000407857,0.00005744626,0.0001445968,0.00009870715,0.0001004091],"domain_scores_gemma":[0.992897,0.005299494,0.0003666017,0.0002548369,0.001067903,0.0001142091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002687827,0.0002786796,0.01100442,0.00007620666,0.0001692526,0.00007277185,0.00002974275,0.9761142,0.0003370977,0.0001893217,0.0003442231,0.01111541],"study_design_scores_gemma":[0.00002163858,0.00007002676,0.0008101629,0.000004544574,0.00002241853,0.000007168366,0.0000045705,0.998742,0.0001861686,0.00008540354,0.00004153532,0.000004291708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9002711,0.0007879849,0.09481192,0.0004370721,0.00005114788,0.0003410504,0.0009535599,0.000643897,0.001702192],"genre_scores_gemma":[0.979838,0.0002051834,0.01793186,0.00006208753,0.00001452975,0.0002494658,0.001034891,0.00002097206,0.0006431472],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03830989,"threshold_uncertainty_score":0.07617384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544417835167883,"score_gpt":0.2789708714245294,"score_spread":0.2635266930728506,"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."}}