{"id":"W4226275330","doi":"10.2196/34699","title":"Type 1 Diabetes Hypoglycemia Prediction Algorithms: Systematic Review","year":2022,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypoglycemia; Glycemic; Machine learning; Medicine; Algorithm; Artificial intelligence; Diabetes mellitus; Intensive care medicine; Computer science; Systematic review; MEDLINE; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001689148,0.0008599085,0.005603644,0.0007444007,0.0002255467,0.0001144699,0.0007488157,0.0003529735,0.003004025],"category_scores_gemma":[0.0009863573,0.0006191442,0.001280308,0.001977245,0.0001295945,0.0001685044,0.0005869486,0.001275921,0.001224751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890364,"about_ca_system_score_gemma":0.0003425776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.28026e-7,"about_ca_topic_score_gemma":9.564862e-8,"domain_scores_codex":[0.9942573,0.0006969589,0.001597258,0.000947912,0.001416614,0.001083939],"domain_scores_gemma":[0.9964843,0.0007329092,0.000721905,0.001553637,0.0001650822,0.000342159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001527683,0.0001488216,0.00004692059,0.7650545,0.001121618,0.00001464295,0.000006063973,3.620587e-8,2.495341e-7,0.000009675784,0.02893001,0.204666],"study_design_scores_gemma":[0.0001733289,0.0003438954,0.000004424167,0.4246651,0.006711885,0.00000134476,0.000005801292,0.00003232576,3.506429e-7,0.00001002829,0.567747,0.0003045386],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00000803741,0.9818526,2.810068e-7,0.0001049294,0.0008145365,0.01237942,0.0001157957,0.0003792254,0.004345159],"genre_scores_gemma":[9.612921e-7,0.9745607,0.00005373972,0.0005730466,0.0004865079,0.008256299,0.002302338,0.0002173385,0.01354907],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.538817,"threshold_uncertainty_score":0.999626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06058395438369729,"score_gpt":0.3623494553863877,"score_spread":0.3017655010026904,"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."}}