{"id":"W4321385665","doi":"10.2196/40990","title":"Hypoglycemia Detection Using Hand Tremors: Home Study of Patients With Type 1 Diabetes","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Hypoglycemia; Medicine; Accelerometer; Diabetes mellitus; Type 2 diabetes; Blood sugar; Random forest; Continuous glucose monitoring; Artificial intelligence; Computer science; Support vector machine; Machine learning; Physical medicine and rehabilitation; Type 1 diabetes; 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":[0.0002200136,0.0001872926,0.0003912126,0.0005426751,0.0001268615,0.00004963585,0.0001207422,0.00006943828,0.00008259683],"category_scores_gemma":[0.00006805878,0.0001375416,0.00005525059,0.001484414,0.0001186885,0.0001499878,0.0001212706,0.0001597918,0.0000619865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005003548,"about_ca_system_score_gemma":0.00002880779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004844928,"about_ca_topic_score_gemma":0.000006981028,"domain_scores_codex":[0.9982729,0.00005900895,0.000251379,0.0003173535,0.000597521,0.0005018131],"domain_scores_gemma":[0.9990861,0.00009593779,0.0001056299,0.0003507399,0.000249235,0.0001123076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001548835,0.0007766646,0.9726546,0.0003102305,0.0002585686,0.000003599306,0.0002619921,0.00003562255,0.009447737,5.328718e-7,0.00017428,0.0159213],"study_design_scores_gemma":[0.003790752,0.003862811,0.982142,0.000164279,0.0001655596,1.612154e-8,0.0003261853,0.002293217,0.006787698,0.00002690574,0.0002604934,0.0001801265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980831,0.0000470321,6.752081e-7,0.00002176308,0.0001609175,0.001358605,0.000005640765,0.0001204051,0.0002019271],"genre_scores_gemma":[0.99894,0.000002116851,0.00003098836,0.00002263593,0.00009274748,0.00006439251,0.0000487496,0.00004809842,0.0007502809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01574118,"threshold_uncertainty_score":0.5608783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324810761929704,"score_gpt":0.2875506900946783,"score_spread":0.2643025824753812,"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."}}