{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001954313,0.0004672783,0.0008974113,0.0003144483,0.003499244,0.00004792591,0.0001911185,0.0004415273,0.00009760675],"category_scores_gemma":[0.0002338404,0.0004814376,0.0001063808,0.0005237996,0.000123741,0.0005105248,0.0003375961,0.001424895,0.0001224765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005600299,"about_ca_system_score_gemma":0.003487207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123262,"about_ca_topic_score_gemma":0.001214575,"domain_scores_codex":[0.9932908,0.001432038,0.001083112,0.001405709,0.0005159485,0.002272397],"domain_scores_gemma":[0.9946943,0.0002349402,0.0005980198,0.0008644782,0.0004817882,0.00312646],"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":[0.0006550379,0.00186093,0.0006115655,0.01171499,0.00002822891,0.00002262675,0.007541534,0.00001477199,0.0005950321,0.05106138,0.001070978,0.9248229],"study_design_scores_gemma":[0.01394224,0.006372311,0.628511,0.003324988,0.0006895653,0.0006536573,0.01681536,0.02826497,0.0001518029,0.03239798,0.2661836,0.002692569],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680933,0.004293517,0.001300197,0.0195707,0.0006795375,0.004911336,0.0001296822,0.0002748694,0.0007468151],"genre_scores_gemma":[0.9752412,0.01034776,0.003344167,0.005662841,0.001455078,0.00331741,0.0001025567,0.0000960567,0.0004329733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9221303,"threshold_uncertainty_score":0.9997637,"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."}}