{"id":"W3121322995","doi":"10.2196/25289","title":"Using Fitbit as an mHealth Intervention Tool to Promote Physical Activity: Potential Challenges and Solutions","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Institute of Nursing Research; National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"mHealth; Intervention (counseling); Physical activity; Computer science; Psychology; Psychological intervention; Medicine; Physical therapy; Nursing","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":[0.1453543,0.001442762,0.002185879,0.00307387,0.004430649,0.009747949,0.006247911,0.007818859,0.00538876],"category_scores_gemma":[0.215113,0.001331652,0.002113187,0.003820487,0.006514585,0.01889302,0.01158771,0.009553253,0.002365371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004247819,"about_ca_system_score_gemma":0.0195339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005546389,"about_ca_topic_score_gemma":0.009828418,"domain_scores_codex":[0.8492341,0.09996462,0.01374667,0.007265341,0.02644901,0.003340254],"domain_scores_gemma":[0.7009822,0.226135,0.01654811,0.01240045,0.03664228,0.00729196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004465701,0.001283297,0.01705698,0.02236771,0.0002719155,0.0006288616,0.02552893,0.0006885559,0.001949129,0.02132958,0.03066636,0.8777822],"study_design_scores_gemma":[0.000618229,0.005885797,0.04624957,0.1089,0.0009362885,0.004391761,0.08987142,0.00889424,0.008341771,0.1169977,0.6077728,0.001140486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.08701422,0.1525653,0.1887382,0.525273,0.007934297,0.005990924,0.00113591,0.001547599,0.02980069],"genre_scores_gemma":[0.306784,0.1085275,0.4577388,0.08942895,0.002564103,0.0251746,0.001219413,0.000624308,0.007938351],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1453543,"threshold_uncertainty_score":0.7687163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1835695405044463,"score_gpt":0.50633366222799,"score_spread":0.3227641217235437,"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."}}