{"id":"W4389509924","doi":"10.1016/j.ajur.2023.08.009","title":"Search trends in the treatment for benign prostatic hyperplasia: A twenty-year analysis","year":2023,"lang":"en","type":"article","venue":"Asian journal of urology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Medicine; Hyperplasia; Gynecology; Urology; General surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007492801,0.0001107463,0.0004744951,0.0009920913,0.00004070365,0.00001320889,0.0001739348,0.00005219204,0.0001083668],"category_scores_gemma":[0.0001129117,0.00006835434,0.0003280859,0.001448143,0.00006814951,0.00004514623,0.0000127402,0.0001683286,0.00002813159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006156977,"about_ca_system_score_gemma":0.0001111694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006289876,"about_ca_topic_score_gemma":0.00008942343,"domain_scores_codex":[0.9986505,0.0002483018,0.0003832324,0.0001610629,0.0002458814,0.0003110326],"domain_scores_gemma":[0.9991651,0.0002147678,0.0001335057,0.0002767835,0.00009315676,0.000116665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004637913,0.00156679,0.7851843,0.00006367818,0.005005272,0.004677681,0.009679276,0.001229118,0.0002690959,0.000705458,0.01439218,0.1725893],"study_design_scores_gemma":[0.006320829,0.00643414,0.9466075,0.0000115109,0.002016603,0.0005047935,0.00240482,0.001303823,0.0000242903,0.000263466,0.0340003,0.0001079073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726849,0.0002335293,0.0001829031,0.02488323,0.0001224568,0.0003489874,0.000148142,0.00002085077,0.001375038],"genre_scores_gemma":[0.998693,0.00007425178,0.000363174,0.0002903367,0.0001287145,0.00002491039,0.0001358583,0.0000138354,0.0002759095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1724813,"threshold_uncertainty_score":0.2787409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056065527604521,"score_gpt":0.3405612741969555,"score_spread":0.3100006189209104,"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."}}