{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003536772,0.0002091216,0.0003015306,0.0002168158,0.0001324002,0.00008214221,0.00008007097,0.00008599894,0.00005363186],"category_scores_gemma":[0.0001722667,0.0001756564,0.00005150587,0.0002988827,0.00005188989,0.0001141601,0.0001448685,0.0002130316,0.00001274349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128789,"about_ca_system_score_gemma":0.0002669042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.634545e-7,"about_ca_topic_score_gemma":0.00000172016,"domain_scores_codex":[0.9982601,0.00007719686,0.0002519387,0.0004833062,0.0004867374,0.0004406576],"domain_scores_gemma":[0.9990308,0.0001285671,0.00005802636,0.0003448777,0.000256516,0.0001812654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002126629,0.01656308,0.7158521,0.003299047,0.00160862,0.0003595947,0.004586801,0.003309951,0.05125479,0.000153751,0.005692937,0.1951926],"study_design_scores_gemma":[0.01024873,0.002068821,0.1397772,0.0003525037,0.0001959645,1.798444e-7,0.001742227,0.6566544,0.1879217,0.0001486307,0.00043765,0.0004520146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995042,0.00006917599,0.0002043694,0.0005485166,0.00005481973,0.001716295,0.000005147322,0.0000968811,0.002262803],"genre_scores_gemma":[0.9940522,0.000003338601,0.0007041445,0.0003809395,0.0000601116,0.0004761687,0.0001358637,0.00003361217,0.004153653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6533445,"threshold_uncertainty_score":0.7163061,"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."}}