{"id":"W2343910825","doi":"10.2196/mhealth.4461","title":"Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":338,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Activity tracker; Wearable computer; Physical activity; BitTorrent tracker; Wearable technology; Psychological intervention; Computer science; Human–computer interaction; Applied psychology; Physical medicine and rehabilitation; Psychology; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000519707,0.0001914909,0.0007627855,0.0003906302,0.0001460609,0.00001434494,0.00006389391,0.0001813085,0.00006971926],"category_scores_gemma":[0.00007085763,0.0001320641,0.000109937,0.0006653477,0.0001613146,0.0003312052,0.00003957329,0.0004101695,0.00001415616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002950865,"about_ca_system_score_gemma":0.0003277436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041153,"about_ca_topic_score_gemma":0.0005728179,"domain_scores_codex":[0.9978617,0.0001826206,0.0003447416,0.000501028,0.0003165782,0.0007932719],"domain_scores_gemma":[0.9983379,0.0002790252,0.00009698653,0.0003217215,0.00006014001,0.0009042072],"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":[0.00166938,0.007774448,0.1955834,0.003339544,0.00006422788,0.0000968366,0.001226264,2.710044e-8,0.001836032,0.001640883,0.0005129128,0.786256],"study_design_scores_gemma":[0.00105526,0.001489502,0.9932046,0.0003166025,0.0003535495,0.00001947971,0.00005806159,0.0001012261,0.0006819533,0.0004026107,0.002139033,0.0001781498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628556,0.0003985034,0.000185024,0.03449977,0.00004275811,0.001454162,0.00004257324,0.0001178308,0.0004037411],"genre_scores_gemma":[0.9951093,0.001744443,0.000364115,0.001267188,0.0003606352,0.001029301,0.000004074137,0.00001794123,0.000103031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7976211,"threshold_uncertainty_score":0.5385419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1560788013713497,"score_gpt":0.468568429306882,"score_spread":0.3124896279355323,"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."}}