{"id":"W4295241289","doi":"10.1016/j.diabres.2022.110080","title":"Are nocturnal hypoglycemia prevention strategies influenced by diabetes technology usage? A BETTER registry analysis","year":2022,"lang":"en","type":"article","venue":"Diabetes Research and Clinical Practice","topic":"Diabetes Management and Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; Montreal Clinical Research Institute; Université de Montréal; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Breakthrough T1D Canada","keywords":"Medicine; Insulin pump; Bedtime; Hypoglycemia; Diabetes mellitus; Evening; Type 1 diabetes; Insulin; Internal medicine; Endocrinology; Logistic regression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01422902,0.0004174084,0.001437284,0.003759539,0.0008361341,0.003355556,0.001182544,0.0008504826,0.004462229],"category_scores_gemma":[0.06876875,0.0005747494,0.003472223,0.009678178,0.000466259,0.005589517,0.001750532,0.001481149,0.0007825128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009144847,"about_ca_system_score_gemma":0.002591722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006765226,"about_ca_topic_score_gemma":0.008529644,"domain_scores_codex":[0.9802244,0.008160937,0.006546524,0.001955578,0.00186078,0.001251809],"domain_scores_gemma":[0.870665,0.049205,0.04862375,0.02013306,0.009751318,0.001621878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002503459,0.00005697157,0.9847853,0.000158282,0.0008403996,0.00004848334,0.0001688604,0.0001503469,0.00003569867,0.0003448219,0.001167371,0.01199318],"study_design_scores_gemma":[0.00005380705,0.000332553,0.9858181,0.0004407148,0.001860098,0.0003570445,0.001470866,0.001660397,0.0002291162,0.0008903146,0.006828789,0.0000581996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410577,0.01284123,0.01052174,0.00440849,0.0004261378,0.0003326199,0.01994169,0.0001300226,0.01034038],"genre_scores_gemma":[0.9838387,0.002215771,0.004118811,0.000957982,0.0002231018,0.0002853403,0.007482001,0.00009520024,0.0007831709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01422902,"threshold_uncertainty_score":0.0752511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06384965087928358,"score_gpt":0.4604869351660992,"score_spread":0.3966372842868156,"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."}}