{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00775992,0.0002390943,0.0007229787,0.001084942,0.0008126401,0.000392712,0.0005595357,0.0002506603,0.0007716492],"category_scores_gemma":[0.009221764,0.0002089588,0.0002807664,0.003506134,0.001143519,0.000695174,0.001160169,0.003481666,0.00005463815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001257537,"about_ca_system_score_gemma":0.0002439894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001447974,"about_ca_topic_score_gemma":0.000007613661,"domain_scores_codex":[0.9937504,0.001478656,0.0008099416,0.0009036917,0.001857535,0.001199759],"domain_scores_gemma":[0.9939721,0.003619405,0.0004741944,0.000814012,0.0006729955,0.0004472911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005743738,0.001828614,0.9228582,0.0001953329,0.003470265,0.0001308864,0.00002807147,0.00001277821,0.001729474,0.0002183841,0.02815438,0.04079921],"study_design_scores_gemma":[0.006926858,0.01116386,0.4999657,0.0002036365,0.003356573,0.000007357542,0.01052346,0.003827489,0.0008289574,0.01507297,0.4472178,0.0009053423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706039,0.002060691,0.00002437577,0.02101543,0.00008955748,0.0006940312,0.0000369244,0.00009170049,0.005383402],"genre_scores_gemma":[0.9906998,0.0003494752,0.0006619058,0.001729175,0.0001905386,0.0002887027,0.0001341206,0.00003454238,0.005911781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4228925,"threshold_uncertainty_score":0.999124,"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."}}