{"id":"W4223961035","doi":"","title":"How I do it: Aquablation in very large prostates (> 150 mL).","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Urinary Bladder and Prostate Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Prostate; Urology; Psychological intervention; Internal medicine; Cancer","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":[],"consensus_categories":[],"category_scores_codex":[0.002119207,0.000478024,0.0005248767,0.001166069,0.0008004904,0.001662429,0.0006719409,0.00249334,0.02286517],"category_scores_gemma":[0.01070033,0.0002566325,0.000675283,0.0006331761,0.001499592,0.00533111,0.001351388,0.00337624,0.01489904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005464051,"about_ca_system_score_gemma":0.001598585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161413,"about_ca_topic_score_gemma":0.004678444,"domain_scores_codex":[0.9992515,0.000260238,0.00008355581,0.00007304754,0.0002568614,0.00007477975],"domain_scores_gemma":[0.9966668,0.001368611,0.0004288055,0.0001434564,0.0006082072,0.0007840631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.0001129022,0.00004052456,0.001190268,0.001276037,0.0000301614,0.0004563981,0.0003358797,0.00003780046,0.0005641671,0.001524047,0.6910377,0.3033941],"study_design_scores_gemma":[0.00006594445,0.000147082,0.00406027,0.003177984,0.00007550193,0.009964501,0.0007199537,0.0001124821,0.0009411667,0.007071795,0.9735852,0.00007810079],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004621285,0.3785018,0.01627099,0.4417651,0.06004049,0.0003451513,0.001436056,0.002334227,0.09468492],"genre_scores_gemma":[0.04800141,0.3573004,0.03626164,0.3915521,0.06749415,0.0006646495,0.00166935,0.001798055,0.09525834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02286517,"threshold_uncertainty_score":0.07649165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03449944187077633,"score_gpt":0.2732775839676624,"score_spread":0.2387781420968861,"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."}}