{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001643945,0.0001641306,0.0007117885,0.0001503544,0.0001173568,0.00001163608,0.00007580841,0.00008950919,0.0001044612],"category_scores_gemma":[0.0001444814,0.0001500412,0.0001884232,0.0006168815,0.0001352416,0.0001256762,0.0001415168,0.0003522295,0.000009188911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604446,"about_ca_system_score_gemma":0.0001064711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073299,"about_ca_topic_score_gemma":0.00005458388,"domain_scores_codex":[0.998546,0.0001812918,0.0002032911,0.0004393896,0.0003675941,0.0002624548],"domain_scores_gemma":[0.9987295,0.0002425882,0.00007699145,0.0005459197,0.0002570329,0.0001479619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003161185,0.01770776,0.8757848,0.0005602743,0.00009440112,0.000008062546,0.009910127,0.000005816268,0.0784506,0.0003782168,0.0001154894,0.0166683],"study_design_scores_gemma":[0.0003880815,0.002555303,0.9729512,0.00002315132,0.00004392435,3.773434e-7,0.008039128,0.000005671496,0.01401471,0.0004575844,0.001394145,0.0001267725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963761,0.000007023068,0.00001898573,0.0003191742,0.0000479536,0.002929898,0.00002954667,0.00008927679,0.0001820482],"genre_scores_gemma":[0.9980856,2.901533e-7,0.00007213106,0.00002257433,0.0001024293,0.00163937,0.00001490498,0.00001596532,0.00004671957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09716631,"threshold_uncertainty_score":0.6118504,"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."}}