{"id":"W4386746472","doi":"10.2196/43979","title":"Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Business Finland","keywords":"Gestational diabetes; Wearable computer; Logbook; Activity tracker; mHealth; Telehealth; Medicine; Psychological intervention; Telemedicine; Self-management; Physical activity; Coaching; Diabetes mellitus; Diabetes management; Wearable technology; Health care; Computer science; Physical therapy; Psychology; Nursing; Pregnancy; Type 2 diabetes; Artificial intelligence","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":[0.0009978729,0.0002095597,0.0004610195,0.0003021544,0.0001202146,0.00002808935,0.0002030424,0.00003782634,0.00005907846],"category_scores_gemma":[0.00005987128,0.0001416861,0.00009777137,0.001016059,0.0001364777,0.00009968902,0.0001839062,0.0001695387,0.00002179431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003838717,"about_ca_system_score_gemma":0.00004853078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009510631,"about_ca_topic_score_gemma":0.000002332623,"domain_scores_codex":[0.9972783,0.0003005251,0.0005289614,0.0003454666,0.0009373674,0.0006093318],"domain_scores_gemma":[0.9977371,0.0009312371,0.0002899539,0.0004141397,0.0005068509,0.000120693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003092538,0.005536494,0.8000569,0.01515518,0.01265386,0.0001405096,0.009796767,0.0083298,0.02654389,0.00276224,0.00658025,0.1121348],"study_design_scores_gemma":[0.001968844,0.001416634,0.9585668,0.0003593664,0.000360114,3.70421e-7,0.01768078,0.003584956,0.01383721,0.0004507211,0.001606104,0.0001681457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961983,0.0002740659,0.00002389974,0.0004674568,0.00005413326,0.002234335,0.00001745219,0.0001051502,0.000625198],"genre_scores_gemma":[0.9895071,0.0001029668,0.009136692,0.00006433109,0.00002378838,0.000508877,0.00006750043,0.00003590187,0.0005528204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1585098,"threshold_uncertainty_score":0.5777792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03140456328877556,"score_gpt":0.3793156643836364,"score_spread":0.3479111010948608,"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."}}