{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002770421,0.000326645,0.0003991174,0.0005792031,0.0002846932,0.0003934531,0.0001836954,0.0003897618,0.0005481555],"category_scores_gemma":[0.00121674,0.0001423876,0.0003081641,0.0004336148,0.0001344845,0.0002542725,0.0002985787,0.0004373161,0.0001533185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002033733,"about_ca_system_score_gemma":0.0001393953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002924519,"about_ca_topic_score_gemma":0.004083363,"domain_scores_codex":[0.9998047,0.00005748319,0.00002340635,0.00005996124,0.00003107312,0.00002344348],"domain_scores_gemma":[0.9995205,0.0001156919,0.0001530659,0.00003615407,0.00006818568,0.0001064083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003257401,0.0003157977,0.9919955,0.00001976716,0.00005219009,0.0002372843,0.0002338291,0.0001079196,0.0007808115,0.000005226757,0.0001344506,0.005791579],"study_design_scores_gemma":[0.00002183024,0.0005231868,0.9976374,0.000005359127,0.00002769451,0.0003976532,0.0003006911,0.000859466,0.0001287163,0.00001300442,0.00007886587,0.000006160692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995431,0.00005528856,0.0001534547,0.00001678798,0.000003769362,0.00001555266,0.0001129986,0.000003432619,0.00009569676],"genre_scores_gemma":[0.9993218,0.00005909333,0.0002942235,0.00002811899,0.00001498133,0.00001590785,0.0001867271,0.00000146662,0.00007764132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002924519,"threshold_uncertainty_score":0.00581497,"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."}}