{"id":"W4281975070","doi":"10.2337/db22-371-p","title":"371-P: Predicting Real-World Nonsevere Hypoglycemia in Americans with Diabetes (iNPHORM)","year":2022,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Hypoglycemia; Diabetes mellitus; Internal medicine; Population; Insulin; Type 1 diabetes; Type 2 diabetes; Pediatrics; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002686584,0.0005031653,0.0004368876,0.0006410256,0.0003253068,0.001089382,0.0006899383,0.0004851366,0.004780008],"category_scores_gemma":[0.009614268,0.0002160738,0.001130145,0.0011526,0.0001092433,0.0005190099,0.0009744935,0.001013189,0.000992842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004477522,"about_ca_system_score_gemma":0.0007730018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168185,"about_ca_topic_score_gemma":0.01118345,"domain_scores_codex":[0.9990835,0.0004757402,0.0000819049,0.000165027,0.0001028704,0.00009087253],"domain_scores_gemma":[0.9966705,0.001239667,0.0008491621,0.0003778874,0.0005059082,0.00035692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006724963,0.0001848727,0.9661076,0.0001115651,0.0002407398,0.00008948234,0.0001033738,0.0007960329,0.00007619672,0.0001607786,0.0119479,0.01950893],"study_design_scores_gemma":[0.0001711155,0.0006246061,0.9702257,0.0001449572,0.0004357037,0.0003650804,0.0003820011,0.01823197,0.0003946241,0.0008090909,0.008175894,0.00003920588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923667,0.0006186211,0.005372078,0.001510532,0.0001445595,0.000275226,0.06258834,0.0003456051,0.00547804],"genre_scores_gemma":[0.9488185,0.0004013486,0.008707104,0.0004439096,0.0001215402,0.0004845159,0.03770086,0.00006828818,0.003253844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01168185,"threshold_uncertainty_score":0.02322769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679820087422647,"score_gpt":0.2698500843556412,"score_spread":0.2530518834814147,"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."}}