{"id":"W3196767600","doi":"10.2196/25356","title":"Applying Mobile Technology to Sustain Physical Activity After Completion of Cardiac Rehabilitation: Acceptability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Physical Activity and Health","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; U.S. Department of Veterans Affairs","keywords":"Activity tracker; Thematic analysis; Randomized controlled trial; mHealth; Physical therapy; Rehabilitation; Intervention (counseling); Wearable technology; Physical activity; Mobile technology; Psychology; Wearable computer; Medicine; Motivational interviewing; Applied psychology; Qualitative research; Mobile device; Psychological intervention; Nursing; Computer science; World Wide Web","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":[0.01280257,0.0004320306,0.0005366911,0.0007152522,0.0007624498,0.001099443,0.0004923813,0.0007249104,0.002811808],"category_scores_gemma":[0.03420747,0.0002956057,0.0009656947,0.0004772735,0.0004919047,0.001037833,0.001176702,0.0008284904,0.0003283528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004465271,"about_ca_system_score_gemma":0.000884493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010897,"about_ca_topic_score_gemma":0.001216989,"domain_scores_codex":[0.9902244,0.006514131,0.0007517117,0.0004089395,0.001607266,0.0004935157],"domain_scores_gemma":[0.9784669,0.01565477,0.001419599,0.0006231913,0.003013711,0.000821761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006804789,0.04138172,0.4623183,0.005196988,0.0007280105,0.002838619,0.1610616,0.000732807,0.01248639,0.0006281279,0.002235294,0.3035874],"study_design_scores_gemma":[0.002066854,0.1570556,0.7187734,0.0009164669,0.0008332005,0.003555686,0.09097965,0.003374327,0.006477513,0.00032575,0.01541333,0.0002280576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970374,0.000110518,0.0006414106,0.00008061373,0.000008555576,0.0008940944,0.00006041664,0.000007657732,0.001159355],"genre_scores_gemma":[0.995804,0.0003185858,0.001602068,0.000141148,0.00002584613,0.001590384,0.00007515675,0.00000979817,0.0004329153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01280257,"threshold_uncertainty_score":0.0677073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919845939187503,"score_gpt":0.3897785824616062,"score_spread":0.3605801230697311,"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."}}