{"id":"W2986732728","doi":"10.2196/14368","title":"Engagement and Participant Experiences With Consumer Smartwatches for Health Research: Longitudinal, Observational Feasibility Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Manchester Biomedical Research Centre; Versus Arthritis; Medical Research Council; National Institute for Health and Care Research","keywords":"Smartwatch; Wearable computer; Observational study; Activity tracker; Thematic analysis; Medicine; mHealth; Physical activity; Physical therapy; Longitudinal study; Gerontology; Psychology; Qualitative research; Computer science; Psychological intervention; Psychiatry","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":[0.01738428,0.0005026818,0.0007179966,0.001236424,0.002926992,0.00203574,0.0006871285,0.001179805,0.002085905],"category_scores_gemma":[0.02063045,0.001033347,0.001109092,0.0008810998,0.001125907,0.002134034,0.002474931,0.001942826,0.0008926202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147267,"about_ca_system_score_gemma":0.003103802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003955227,"about_ca_topic_score_gemma":0.007924453,"domain_scores_codex":[0.9939586,0.003033231,0.0004987103,0.0006178639,0.0009288983,0.0009626777],"domain_scores_gemma":[0.9890309,0.003455968,0.002437784,0.0007200263,0.002631801,0.00172361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001939203,0.01627476,0.7782412,0.0007958008,0.0002532432,0.0007656128,0.1570408,0.0001450095,0.002175429,0.0003495696,0.002303058,0.03971636],"study_design_scores_gemma":[0.0005873646,0.01751039,0.8305089,0.0004939665,0.0001746774,0.0006558456,0.1409556,0.0006998479,0.0007055009,0.0003909497,0.007183093,0.0001338896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965811,0.0001459832,0.0005326457,0.0001574535,0.00001188117,0.001416494,0.0002762504,0.00001092477,0.0008671965],"genre_scores_gemma":[0.990373,0.0002758136,0.001809143,0.0002755772,0.00002752606,0.006137457,0.0003834862,0.000009058997,0.0007090059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738428,"threshold_uncertainty_score":0.09193796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7237772089603265,"score_gpt":0.6047028486893847,"score_spread":0.1190743602709418,"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."}}