{"id":"W3107600047","doi":"10.2196/16309","title":"Assessing User Retention of a Mobile App: Survival Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health Research Institutes; Ministry of Science and Technology, Taiwan","keywords":"Data retention; Computer science; Android (operating system); Data collection; mHealth; Mobile device; Mobile apps; Retention rate; World Wide Web; Medicine; Operating system; Computer security; Nursing; Psychological intervention","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":[],"consensus_categories":[],"category_scores_codex":[0.0005500278,0.0001527453,0.0005014513,0.0002099235,0.0001430752,0.00004424619,0.0001227249,0.0001101608,0.0003230114],"category_scores_gemma":[0.00002466685,0.0001513227,0.0001726402,0.001000449,0.00008191662,0.000250364,0.00005105241,0.0002334751,0.00006291088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006756728,"about_ca_system_score_gemma":0.0001121996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004455175,"about_ca_topic_score_gemma":0.0000686426,"domain_scores_codex":[0.9977002,0.000276966,0.0008586332,0.0004448978,0.000241988,0.0004773819],"domain_scores_gemma":[0.9984928,0.00009857714,0.0004483731,0.0002548311,0.00007009039,0.000635311],"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":[0.002017545,0.004462888,0.3872664,0.01623819,0.001477817,0.00005327122,0.01607958,0.00005499403,0.0001279659,0.07382043,0.01387049,0.4845305],"study_design_scores_gemma":[0.001770645,0.002542461,0.9805372,0.0001267163,0.0006051981,0.000009154767,0.004987208,0.0005556536,0.00003308461,0.0005690022,0.00795496,0.0003087157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875624,0.0008829345,0.001355802,0.002473608,0.0005292342,0.0006152586,0.00009506553,0.0001078347,0.006377884],"genre_scores_gemma":[0.9979393,0.00002762808,0.0003803539,0.0009442898,0.0001148504,0.0001254237,0.00007926139,0.00002118982,0.0003676911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5932708,"threshold_uncertainty_score":0.6170763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407228131901186,"score_gpt":0.4808594881264084,"score_spread":0.3401366749362899,"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."}}