{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006295758,0.001049178,0.001527141,0.0009600761,0.0005245894,0.000631278,0.0009477514,0.0009944916,0.002633259],"category_scores_gemma":[0.005245764,0.0007705006,0.001339682,0.0004378502,0.0007153719,0.0007131742,0.0008050477,0.0009724684,0.0005348868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000636389,"about_ca_system_score_gemma":0.003321186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006018,"about_ca_topic_score_gemma":0.002571017,"domain_scores_codex":[0.9976278,0.001302296,0.0002082447,0.0001907594,0.0003889635,0.0002819822],"domain_scores_gemma":[0.9982838,0.0008387229,0.000140519,0.000191273,0.0003217902,0.0002238265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03488082,0.4989165,0.03768737,0.007187638,0.0006499137,0.001524316,0.01347407,0.003183087,0.02473698,0.0009951084,0.001930019,0.3748342],"study_design_scores_gemma":[0.06395061,0.7830656,0.1227317,0.0007969915,0.001269961,0.0005427753,0.003394703,0.003475082,0.009316398,0.0006083251,0.01073767,0.0001102473],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580966,0.0001921728,0.002521191,0.00007423632,0.00003793403,0.03760709,0.0003981939,0.00006195914,0.001010543],"genre_scores_gemma":[0.8316135,0.001636596,0.0583193,0.0003576181,0.00009764452,0.1046902,0.0009611534,0.00004197008,0.002281866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006295758,"threshold_uncertainty_score":0.03329551,"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."}}