{"id":"W2463598312","doi":"10.2196/mhealth.5738","title":"Expert Involvement Predicts mHealth App Downloads: Multivariate Regression Analysis of Urology Apps","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Popularity; App store; Computer science; Logistic regression; Mobile apps; Certification; Multivariate analysis; Internet privacy; Medicine; World Wide Web; Medical education; Psychology; Psychological intervention; Nursing; Machine learning","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":[0.005052553,0.0006827117,0.0006678741,0.002001819,0.0005340519,0.00160572,0.001169602,0.0008187161,0.007513525],"category_scores_gemma":[0.02528067,0.0004716707,0.002440008,0.001993619,0.0005340717,0.001405186,0.001288104,0.002069954,0.001146704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005062968,"about_ca_system_score_gemma":0.00123681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082514,"about_ca_topic_score_gemma":0.005038444,"domain_scores_codex":[0.9961727,0.001340864,0.0004173936,0.0006308607,0.0008363069,0.0006018585],"domain_scores_gemma":[0.9584169,0.02735779,0.007909008,0.001600876,0.002016685,0.002698769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001620842,0.0001031707,0.9968555,0.00002621323,0.0002382199,0.0000701742,0.0001207668,0.0002801047,0.00005170749,0.00002704156,0.0003201219,0.001744885],"study_design_scores_gemma":[0.00001751575,0.0002199222,0.9880988,0.00004694455,0.000290191,0.0002930301,0.0006467552,0.009551969,0.0001268357,0.0001012405,0.0005880379,0.00001874441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996157,0.0003379065,0.0009454919,0.0002736349,0.0000336799,0.00004179297,0.001033059,0.00004214764,0.001135305],"genre_scores_gemma":[0.9981167,0.000118187,0.0004113759,0.00003044327,0.00002951569,0.0000520853,0.0005904997,0.00002361132,0.0006275995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082514,"threshold_uncertainty_score":0.02672076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08243879912041019,"score_gpt":0.4540202287320175,"score_spread":0.3715814296116073,"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."}}