{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01608362,0.000686662,0.0008743165,0.0009080557,0.001139015,0.001416565,0.0009402614,0.0008692121,0.001809387],"category_scores_gemma":[0.0146318,0.0006409752,0.001371941,0.001070317,0.000628238,0.001109238,0.001223276,0.0005332418,0.0002537564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007807,"about_ca_system_score_gemma":0.002225672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003114338,"about_ca_topic_score_gemma":0.005076271,"domain_scores_codex":[0.9885594,0.008428846,0.001049505,0.0007766846,0.0007102845,0.0004752217],"domain_scores_gemma":[0.9906508,0.005963416,0.001374408,0.0006518213,0.0009746499,0.0003849553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008146681,0.03889269,0.4971949,0.007549779,0.002381282,0.0008732064,0.1511249,0.0007042633,0.007382714,0.001665551,0.001352974,0.2827311],"study_design_scores_gemma":[0.006352769,0.1046105,0.6508633,0.004350769,0.003653535,0.001240853,0.1934437,0.007113773,0.007582675,0.00276022,0.01756392,0.0004639886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915479,0.0008939786,0.003198198,0.0001180203,0.00002239529,0.003332312,0.0001601956,0.000007794598,0.0007193832],"genre_scores_gemma":[0.9618829,0.001417538,0.019949,0.0006292898,0.00004440828,0.01487595,0.000239798,0.00001270329,0.000948394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01608362,"threshold_uncertainty_score":0.08505929,"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."}}