{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005226997,0.0001329393,0.0004577063,0.0007785638,0.001517221,0.00001045991,0.00122404,0.0002507021,0.000001593563],"category_scores_gemma":[0.003627675,0.00007529213,0.00002993845,0.001633621,0.001488362,0.0002745813,0.0004994627,0.0005897271,4.302134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003275185,"about_ca_system_score_gemma":0.0006402654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000185052,"about_ca_topic_score_gemma":0.00002240536,"domain_scores_codex":[0.998148,0.00007906673,0.0006441451,0.0003059485,0.0002245757,0.0005983168],"domain_scores_gemma":[0.9961049,0.001117544,0.00102464,0.0007648109,0.0009185431,0.00006958022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003397012,0.0002189922,0.4784506,0.0002727025,0.00008388088,3.72371e-7,0.0002427128,1.346586e-7,0.01103639,0.004861525,0.00008625464,0.5047125],"study_design_scores_gemma":[0.00707881,0.00965007,0.6261151,0.001002847,0.001332594,0.00004824269,0.05800175,0.0031609,0.07835701,0.1950004,0.01965898,0.0005933663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830101,0.005415448,0.0003852213,0.007084218,0.0002551227,0.003752308,0.00001921378,0.00006829842,0.00001008608],"genre_scores_gemma":[0.9939734,0.0009925484,0.003815303,0.00003396555,0.00003679018,0.001128196,3.590451e-7,0.000009962025,0.000009512852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5041191,"threshold_uncertainty_score":0.9997827,"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."}}