{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0009936511,0.0001901947,0.0004094878,0.007118678,0.0003277049,0.0009826294,0.0003912027,0.0004657526,0.001662365],"category_scores_gemma":[0.005200004,0.0001960671,0.001272856,0.0112759,0.0001988945,0.001273409,0.0005853298,0.0003951644,0.000389589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006397,"about_ca_system_score_gemma":0.0006323363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01726232,"about_ca_topic_score_gemma":0.01965841,"domain_scores_codex":[0.9987973,0.0002043197,0.0003272282,0.0001590324,0.0003966469,0.0001154872],"domain_scores_gemma":[0.9918398,0.00170552,0.004831209,0.0001656466,0.0009646038,0.0004932266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001131239,0.00002655664,0.9923631,0.0002966007,0.0002593667,0.0001208879,0.0001509778,0.00007366869,0.00007945576,0.00003133515,0.0009541591,0.005530811],"study_design_scores_gemma":[0.000006368171,0.00005011454,0.997337,0.00009766504,0.0001435812,0.0003633579,0.0003328323,0.0002651532,0.00005497107,0.00001346509,0.001328478,0.000006972696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672039,0.01214444,0.0001008661,0.0005541536,0.00002543184,0.00004385495,0.01778097,0.00003494638,0.002111364],"genre_scores_gemma":[0.9848946,0.005514913,0.000173722,0.0001723487,0.00005123701,0.00004151354,0.008668327,0.00001551091,0.0004678426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9928813,"threshold_uncertainty_score":0.03432369,"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."}}