{"id":"W2091263179","doi":"10.1177/193229681100500416","title":"Diabetes and Technology for Increased Activity (DaTA) Study: Results of a Remote Monitoring Intervention for Prevention of Metabolic Syndrome","year":2011,"lang":"en","type":"article","venue":"Journal of Diabetes Science and Technology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Pedometer; Overweight; Body mass index; Population; Diabetes mellitus; Blood pressure; Incidence (geometry); Physical therapy; Metabolic syndrome; Obesity; Gerontology; Environmental health; Internal medicine; Physical activity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.002740694,0.0007490444,0.0008052008,0.0004050271,0.0005446767,0.0005398109,0.0003244621,0.0007450216,0.002239495],"category_scores_gemma":[0.003864105,0.0003816998,0.0008587537,0.0002740361,0.000243196,0.0003850925,0.0007546677,0.0009676624,0.0004300806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560565,"about_ca_system_score_gemma":0.0006741044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002369496,"about_ca_topic_score_gemma":0.001781078,"domain_scores_codex":[0.998394,0.0009696783,0.00008952215,0.0002087942,0.000182139,0.0001559046],"domain_scores_gemma":[0.997546,0.0008677303,0.0004049407,0.0002020018,0.00024563,0.0007336354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2385477,0.2079433,0.2739847,0.001465811,0.003300964,0.0006638059,0.002087903,0.001199319,0.01255048,0.0002006971,0.004062548,0.2539929],"study_design_scores_gemma":[0.06095695,0.2252377,0.7025747,0.0001310128,0.002356934,0.000282322,0.0005844671,0.001090063,0.003499319,0.00009758068,0.003116735,0.00007229105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965621,0.0002034976,0.0003513634,0.000157309,0.00003384903,0.000700987,0.0005944762,0.00003519598,0.001361258],"genre_scores_gemma":[0.9941238,0.0002229737,0.001506215,0.0003059468,0.00007561667,0.001508604,0.0009507227,0.0000132762,0.001292919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002740694,"threshold_uncertainty_score":0.01449436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08211134904625764,"score_gpt":0.4229814833091199,"score_spread":0.3408701342628623,"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."}}