{"id":"W2896076002","doi":"10.2196/10945","title":"Barriers and Opportunities for Using Wearable Devices to Increase Physical Activity Among Veterans: Pilot Study","year":2018,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Physical Activity and Health","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Wearable computer; Wearable technology; Physical activity; Medicine; Population; Psychological intervention; Veterans Affairs; Gerontology; Telephone interview; Physical therapy; Computer science; Environmental health; Nursing; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003387093,0.0002965398,0.0003101613,0.0004907039,0.00110599,0.001041907,0.0003985288,0.0005253467,0.002887561],"category_scores_gemma":[0.006363782,0.0003701104,0.0005641112,0.0004074943,0.0005059159,0.0007615656,0.0009454195,0.0009070578,0.0002891727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005694162,"about_ca_system_score_gemma":0.002159513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005882281,"about_ca_topic_score_gemma":0.0108688,"domain_scores_codex":[0.9988801,0.0005068606,0.0001154146,0.00005798289,0.0001623039,0.0002773605],"domain_scores_gemma":[0.9969606,0.001200959,0.000555605,0.0001507421,0.0005624788,0.0005695508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.0008034501,0.01153056,0.8560398,0.0005855864,0.00008283075,0.0007449753,0.07629754,0.0001017401,0.001753103,0.0002022951,0.001053194,0.05080488],"study_design_scores_gemma":[0.0003002562,0.0263379,0.8078891,0.0005365949,0.0001891537,0.001280336,0.1565081,0.0005462045,0.001310262,0.0001829105,0.004860821,0.00005826869],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992213,0.00005802992,0.0000668601,0.00007473863,0.000003838026,0.0001203517,0.00003688184,0.000002681974,0.0004153269],"genre_scores_gemma":[0.9988692,0.0001658613,0.0003452562,0.00009862597,0.000007481893,0.0001920137,0.0000349257,0.000001432923,0.000285044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005882281,"threshold_uncertainty_score":0.01791286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3443488806982398,"score_gpt":0.5015520514485481,"score_spread":0.1572031707503083,"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."}}