{"id":"W2620219621","doi":"10.2196/mhealth.6233","title":"What to Build for Middle-Agers to Come? Attractive and Necessary Functions of Exercise-Promotion Mobile Phone Apps: A Cross-Sectional Study","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chang Gung Medical Foundation","keywords":"mHealth; Mobile phone; Promotion (chess); Cross-sectional study; Internet privacy; Phone; Health promotion; Computer science; Medicine; Psychology; Psychological intervention; Telecommunications; Nursing; Public health; Political science","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":[0.0017605,0.0002568568,0.0004744157,0.0008340763,0.0008333478,0.001297598,0.0004234944,0.0009195248,0.002221016],"category_scores_gemma":[0.004056272,0.0006132804,0.0008891743,0.0006169207,0.0003305357,0.001456134,0.0007460216,0.001151414,0.0006089825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000357633,"about_ca_system_score_gemma":0.0004434845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00533283,"about_ca_topic_score_gemma":0.006487135,"domain_scores_codex":[0.9994071,0.0001333994,0.00009103505,0.0001175236,0.0001402547,0.0001108263],"domain_scores_gemma":[0.9977707,0.0005102087,0.0009792397,0.0001060148,0.0002904604,0.0003434049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006827032,0.0002868387,0.9940221,0.0000616059,0.00003633872,0.00009059117,0.002929199,0.000008117346,0.000118621,0.00003111172,0.0001745703,0.002172576],"study_design_scores_gemma":[0.000007444807,0.000374003,0.9898864,0.00004997461,0.00005049608,0.0002355355,0.008728516,0.00009357256,0.00004286524,0.000026622,0.0004967116,0.000007987005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992083,0.0002571999,0.00005732144,0.00005120626,0.000004487618,0.000028895,0.0001085233,0.000001333302,0.000282795],"genre_scores_gemma":[0.9988614,0.00030132,0.0002029897,0.0001247985,0.000007241822,0.00005856991,0.0001466741,0.000001947362,0.0002949135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00533283,"threshold_uncertainty_score":0.01060355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1467397511056776,"score_gpt":0.4955969490561288,"score_spread":0.3488571979504511,"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."}}