{"id":"W2150218903","doi":"10.1177/193229681100500417","title":"Remote Monitoring Technologies for the Prevention of Metabolic Syndrome: The Diabetes and Technology for Increased Activity (DaTA) Study","year":2011,"lang":"en","type":"article","venue":"Journal of Diabetes Science and Technology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Pedometer; Medicine; Telehealth; Telemedicine; Health care; mHealth; Medical emergency; Self-monitoring; Nursing; Psychological intervention; Physical activity; Physical therapy","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":[0.008235252,0.0006146005,0.0006080209,0.0006279725,0.0009288715,0.001488167,0.0005805054,0.001104524,0.003599139],"category_scores_gemma":[0.00709323,0.0004005003,0.001254699,0.0007352305,0.0005253993,0.0009952859,0.001510318,0.00195481,0.0006610898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006789439,"about_ca_system_score_gemma":0.003470839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005695142,"about_ca_topic_score_gemma":0.003836881,"domain_scores_codex":[0.9963477,0.002215253,0.0002102379,0.0003049789,0.0005503721,0.0003714092],"domain_scores_gemma":[0.9943803,0.002397027,0.0008033789,0.0004288878,0.0007102337,0.00128018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05981105,0.09183355,0.4914529,0.002629305,0.002538604,0.0007529325,0.003482789,0.0008412548,0.004529546,0.002657647,0.01414473,0.3253258],"study_design_scores_gemma":[0.04618552,0.1375908,0.7482359,0.00212387,0.005672193,0.0009353733,0.00387331,0.001880665,0.004721916,0.001393249,0.04719891,0.0001882581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723099,0.004150144,0.002138629,0.003787854,0.0003287857,0.00437466,0.002663862,0.00006230811,0.01018366],"genre_scores_gemma":[0.9687315,0.00486203,0.007529149,0.003827384,0.0006131732,0.007654724,0.001886715,0.00004437421,0.004851055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008235252,"threshold_uncertainty_score":0.04355264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0860231817272197,"score_gpt":0.4135761103690062,"score_spread":0.3275529286417865,"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."}}