{"id":"W2016793567","doi":"10.1249/01.mss.0000386639.91783.a8","title":"Diabetes and Technology for Increased Activity (DaTA) Study","year":2010,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Pedometer; Waist; Physical therapy; Blood pressure; Metabolic syndrome; Diabetes mellitus; Internal medicine; Physical activity; Body mass index","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002055682,0.0004599167,0.0006485602,0.0005949864,0.001235334,0.001826933,0.000686597,0.0007293146,0.01036531],"category_scores_gemma":[0.005890136,0.0003514237,0.000676369,0.002256094,0.0002130998,0.0006201143,0.001028881,0.001201558,0.002568264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002085723,"about_ca_system_score_gemma":0.002997046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07241146,"about_ca_topic_score_gemma":0.07677466,"domain_scores_codex":[0.9981461,0.0005700983,0.0001922432,0.0002757378,0.0005362825,0.0002795328],"domain_scores_gemma":[0.9966006,0.0005085893,0.0008873941,0.0004279738,0.0008101474,0.0007654449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008718602,0.00227354,0.9272695,0.0005692143,0.0005748189,0.0001564046,0.000314359,0.00007100547,0.0002632252,0.0002960913,0.02035805,0.0391352],"study_design_scores_gemma":[0.002939982,0.001248707,0.971984,0.0002088352,0.0006205193,0.0001316519,0.0003109639,0.0001392486,0.0001139698,0.0001191415,0.02216399,0.0000188996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8004875,0.004098303,0.001068242,0.003070392,0.0004624348,0.002980399,0.1427445,0.0001710038,0.04491727],"genre_scores_gemma":[0.9122165,0.001997992,0.002242175,0.002625276,0.0003198815,0.005121259,0.05440037,0.00007999738,0.02099652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07241146,"threshold_uncertainty_score":0.14398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03899289960815033,"score_gpt":0.4230935315924884,"score_spread":0.384100631984338,"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."}}