{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003650858,0.0006199606,0.001842743,0.001373243,0.001856424,0.000008636824,0.0004907261,0.0008258173,0.0006692624],"category_scores_gemma":[0.0003506768,0.0004137559,0.0002279582,0.001975969,0.0003715661,0.0002343621,0.0002785884,0.00101148,0.0001424378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007012439,"about_ca_system_score_gemma":0.003190015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137919,"about_ca_topic_score_gemma":0.001291168,"domain_scores_codex":[0.989829,0.001862173,0.003377146,0.00145541,0.0007899677,0.002686276],"domain_scores_gemma":[0.9906604,0.001982675,0.002353935,0.001493689,0.0005238069,0.002985551],"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":[0.004111793,0.001980758,0.2817447,0.01332081,0.0006827882,0.00001142951,0.01410549,0.00001998636,0.00144195,0.04564748,0.06625564,0.5706771],"study_design_scores_gemma":[0.009160797,0.001571261,0.6469067,0.0009676166,0.00100629,0.00000619371,0.001912427,0.00140479,0.00003686167,0.001579453,0.3347086,0.0007390063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9023649,0.01352912,0.01078072,0.04952775,0.002317174,0.01569578,0.001452283,0.0009861581,0.003346135],"genre_scores_gemma":[0.9431977,0.03149644,0.001328075,0.01404195,0.0006343785,0.008282684,0.0002646043,0.00008135195,0.0006728729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5699381,"threshold_uncertainty_score":0.9998314,"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."}}