{"id":"W2515113561","doi":"10.2196/diabetes.4506","title":"Data Mining of a Remote Behavioral Tracking System for Type 2 Diabetes Patients: A Prospective Cohort Study","year":2016,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Public Health Ontario; University of Toronto; York University","funders":"","keywords":"Tracking (education); Diabetes mellitus; Prospective cohort study; Type 2 Diabetes Mellitus; Medicine; Software; Type 2 diabetes; Computer science; Cohort; Digital health; Health care; Psychology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004197701,0.0004498784,0.0006183269,0.0008335035,0.001051106,0.001274929,0.0007852322,0.00086949,0.001234757],"category_scores_gemma":[0.007894807,0.0005698851,0.001373855,0.001250579,0.0002718712,0.0006413724,0.0006778577,0.001497814,0.0003724127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005594845,"about_ca_system_score_gemma":0.0009771916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305244,"about_ca_topic_score_gemma":0.01185797,"domain_scores_codex":[0.9980353,0.0006839546,0.0002255632,0.0005559852,0.0003334082,0.0001658613],"domain_scores_gemma":[0.9947401,0.001408584,0.00126449,0.001234525,0.0008168313,0.0005356232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005040257,0.0004475655,0.9965198,0.00001656712,0.00024431,0.0001054347,0.0001861279,0.00006302502,0.0002007079,0.00001688537,0.000189936,0.001505524],"study_design_scores_gemma":[0.00009152237,0.0007458076,0.9963781,0.00001469484,0.0002158896,0.0003046257,0.0004876085,0.001302382,0.0001428031,0.00003590681,0.0002652228,0.00001545054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987944,0.00007096873,0.0002961331,0.0000393727,0.000007009895,0.0000557799,0.0006116466,0.000005755414,0.0001187724],"genre_scores_gemma":[0.9976892,0.00009020387,0.0007581001,0.00005403488,0.000009966824,0.00009325115,0.001058408,0.000006813345,0.0002399942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01305244,"threshold_uncertainty_score":0.02595294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062531627722033,"score_gpt":0.4588305153512913,"score_spread":0.3525773525790881,"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."}}