{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006855777,0.0004234703,0.0005026442,0.00299492,0.0006057901,0.001024544,0.0005560968,0.0004646298,0.002262588],"category_scores_gemma":[0.02662595,0.0001836585,0.001287002,0.00189708,0.000380128,0.001066685,0.0009945555,0.000699076,0.000579581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005308651,"about_ca_system_score_gemma":0.0006882919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002586805,"about_ca_topic_score_gemma":0.00246191,"domain_scores_codex":[0.9970369,0.0010809,0.0004282829,0.0003438183,0.0008771104,0.0002329904],"domain_scores_gemma":[0.972734,0.01303965,0.006738637,0.001435112,0.005119952,0.0009327198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006772987,0.0002043684,0.9558774,0.000165957,0.0002656382,0.00005003266,0.0009528609,0.0005247209,0.0003502698,0.0001341005,0.0007003589,0.04009708],"study_design_scores_gemma":[0.00003442091,0.002504777,0.978735,0.0001745875,0.0004530106,0.0002945807,0.001599161,0.01289524,0.001185596,0.0004314894,0.001636942,0.0000551843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896886,0.0003709741,0.006660442,0.0001496078,0.00002365861,0.0003059975,0.001405824,0.00009676155,0.001298014],"genre_scores_gemma":[0.9956619,0.0001432539,0.002516905,0.00004390441,0.0000188037,0.0003894051,0.0007361548,0.00001360267,0.0004761147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006855777,"threshold_uncertainty_score":0.03625721,"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."}}