{"id":"W2897370809","doi":"10.2196/11898","title":"Physical Activity Surveillance Through Smartphone Apps and Wearable Trackers: Examining the UK Potential for Nationally Representative Sampling","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council","keywords":"Activity tracker; Wearable computer; Internet privacy; Physical activity; Computer science; Smartphone application; mHealth; Wearable technology; Sampling (signal processing); Smartphone app; Applied psychology; Psychology; Multimedia; Psychological intervention; Medicine; Telecommunications; Physical medicine and rehabilitation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005554989,0.000190493,0.0005074813,0.00004122715,0.0009913794,0.00003955129,0.00006522339,0.00008873068,0.000009319998],"category_scores_gemma":[0.0001366151,0.0001387901,0.00005275587,0.0002073726,0.0003795947,0.0002086169,0.0000479644,0.0004097196,0.000005140437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009043406,"about_ca_system_score_gemma":0.0004632433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005136186,"about_ca_topic_score_gemma":0.0001685651,"domain_scores_codex":[0.9982115,0.0001573783,0.0002296731,0.0005183135,0.0003052205,0.0005779283],"domain_scores_gemma":[0.9982699,0.000791122,0.0002098938,0.0002291015,0.0001651116,0.0003348414],"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":[0.04476338,0.01439136,0.06964316,0.02271985,0.0008835706,0.00003690873,0.1139745,0.00005488317,0.02947288,0.03904163,0.02477211,0.6402458],"study_design_scores_gemma":[0.004054267,0.003610902,0.9752402,0.0002033081,0.00008462741,0.00006234423,0.001378453,0.005966106,0.0005982556,0.006962667,0.001558441,0.0002804775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838935,0.0002645875,0.004370621,0.009674718,0.0001465768,0.001143029,0.00006020888,0.00004924855,0.0003975619],"genre_scores_gemma":[0.9945829,0.0004920787,0.001444275,0.001598618,0.001616005,0.0001155382,0.0000205671,0.00002182161,0.0001082319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.905597,"threshold_uncertainty_score":0.7624989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.139850039414155,"score_gpt":0.438378087929539,"score_spread":0.298528048515384,"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."}}