{"id":"W2963498005","doi":"10.2196/12983","title":"The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":366,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile apps; mHealth; Longitudinal study; Psychology; Computer science; Internet privacy; Medicine; World Wide Web; Psychological intervention; 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":[0.0166894,0.0003393801,0.0004942771,0.001864029,0.004186591,0.002706954,0.0008755908,0.001043643,0.001135763],"category_scores_gemma":[0.02988395,0.0006355061,0.0006180904,0.001551537,0.001559482,0.002822197,0.002817919,0.00226911,0.0003153043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860534,"about_ca_system_score_gemma":0.003199906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02273449,"about_ca_topic_score_gemma":0.04339355,"domain_scores_codex":[0.9951331,0.002984437,0.0003179673,0.0003269625,0.0006665948,0.0005709292],"domain_scores_gemma":[0.9810964,0.01015728,0.003052046,0.0007642341,0.003263098,0.001666914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001355709,0.00087555,0.4749525,0.0001744947,0.00005438485,0.001041412,0.4961995,0.00006469007,0.0007464433,0.0004956902,0.0008742179,0.0243856],"study_design_scores_gemma":[0.00002950978,0.001313416,0.4520663,0.0005858543,0.0001259654,0.001009217,0.5334021,0.0009334668,0.0007137987,0.000586594,0.009118991,0.0001147719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976038,0.0003541978,0.0005724136,0.0005541291,0.00001046318,0.00008521108,0.0001600479,0.000006619233,0.0006531485],"genre_scores_gemma":[0.9970129,0.0005723606,0.001160884,0.0002806835,0.00001281974,0.000223374,0.0002105905,0.000009763556,0.0005166279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02273449,"threshold_uncertainty_score":0.08826303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166696276844559,"score_gpt":0.4686464887041403,"score_spread":0.3519768610196843,"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."}}