{"id":"W2254170564","doi":"10.2196/mhealth.4225","title":"Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":457,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Activity tracker; Pedometer; Wearable computer; Thematic analysis; Focus group; Medicine; Wearable technology; Usability; Physical therapy; Psychology; Gerontology; Physical activity; Qualitative research; Computer science","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":[0.001723182,0.0002406175,0.0007773293,0.0001182433,0.0003163351,0.00001387492,0.00006818747,0.0001657003,0.0001424573],"category_scores_gemma":[0.0001056266,0.0001591015,0.00004713755,0.0002730611,0.0003482989,0.0004557897,0.00003578216,0.0003896884,0.000006026664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003841254,"about_ca_system_score_gemma":0.001632882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001925313,"about_ca_topic_score_gemma":0.002483802,"domain_scores_codex":[0.99741,0.0005628492,0.0003854674,0.0005345456,0.00046889,0.0006382685],"domain_scores_gemma":[0.9979734,0.0004348383,0.0004196851,0.0003582856,0.0001463151,0.0006674225],"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":[0.005987077,0.001124681,0.05533659,0.007000806,0.00005192144,0.000002980046,0.001612258,0.000001077834,0.004426245,0.0001650107,0.001534612,0.9227567],"study_design_scores_gemma":[0.007288026,0.003130587,0.9843807,0.001481544,0.0001378409,0.0000134591,0.0001494939,0.0008102232,0.001318866,0.0002120203,0.0008628324,0.0002144669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934343,0.0012897,0.0007194867,0.00229571,0.0001021917,0.001528106,0.00002898098,0.00004723015,0.0005543515],"genre_scores_gemma":[0.9947822,0.003066916,0.001254419,0.0003800595,0.0001749595,0.0001286977,0.000005889458,0.00002882057,0.0001780194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9290441,"threshold_uncertainty_score":0.6487972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05193379853711017,"score_gpt":0.4074464360050677,"score_spread":0.3555126374679575,"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."}}