{"id":"W4281932522","doi":"10.2196/35118","title":"A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds National de la Recherche Luxembourg","keywords":"mHealth; Intervention (counseling); Psychological intervention; Medicine; Physical therapy; Behavior change methods; Physical activity; Sedentary behavior; Activity tracker; Screen time; Randomized controlled trial; Behavior change; Smartphone app; Sedentary lifestyle; Gerontology; Nursing; World Wide Web; Computer science; Internal medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.007091389,0.0002031703,0.0004153043,0.0003931263,0.006539598,0.00002270732,0.0003141986,0.00005358412,0.0001078668],"category_scores_gemma":[0.0002091634,0.0001824994,0.00007902964,0.0005047095,0.0001279044,0.0002386496,0.0004871814,0.001224958,0.00004989231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316807,"about_ca_system_score_gemma":0.00183786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007064221,"about_ca_topic_score_gemma":0.0001374412,"domain_scores_codex":[0.9950018,0.001798455,0.0006518224,0.0004527524,0.000769096,0.001326096],"domain_scores_gemma":[0.9960999,0.002271856,0.0003480499,0.000313356,0.0005012628,0.0004655846],"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":[0.03018721,0.02157882,0.004469502,0.02073454,0.0001280222,0.000001026459,0.1985595,0.000005884855,0.00008596812,0.04164165,0.02558884,0.657019],"study_design_scores_gemma":[0.02630018,0.03512358,0.04526739,0.0005117176,0.00003269981,0.000003195626,0.1700791,0.002650077,0.00006279015,0.005114318,0.7143695,0.0004855163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484299,0.00009404006,0.005036261,0.0004164398,0.0002391006,0.04498272,0.0002880532,0.0001007438,0.0004126831],"genre_scores_gemma":[0.6868133,0.00001773071,0.0001852816,0.0001492121,0.0001156872,0.3113396,0.0000983985,0.00002950387,0.001251317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6887807,"threshold_uncertainty_score":0.9947538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1749587070683865,"score_gpt":0.5588520581993941,"score_spread":0.3838933511310076,"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."}}