{"id":"W2086224953","doi":"10.1016/j.eururo.2009.05.004","title":"Classification of Male Lower Urinary Tract Symptoms Using Mathematical Modelling and a Regression Tree Algorithm of Noninvasive Near-Infrared Spectroscopy Parameters","year":2009,"lang":"en","type":"article","venue":"European Urology","topic":"Urinary Bladder and Prostate Research","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Medicine; Nomogram; Lower urinary tract symptoms; Prospective cohort study; Urology; Hemodynamics; International Prostate Symptom Score; Internal medicine; Prostate","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":[0.0003544284,0.0001423639,0.0003499521,0.0001315986,0.00005261887,0.000009592271,0.00008534701,0.00006890695,0.00007025257],"category_scores_gemma":[0.00004720434,0.0001161903,0.00007458207,0.0001343848,0.000251711,0.00006894224,0.00004083212,0.0002528435,0.00001060843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000185676,"about_ca_system_score_gemma":0.00006015352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002642645,"about_ca_topic_score_gemma":2.621712e-8,"domain_scores_codex":[0.99863,0.0002642422,0.0003718384,0.0002748572,0.0002028069,0.0002562047],"domain_scores_gemma":[0.9992077,0.0001458611,0.0001495368,0.000300586,0.00007910682,0.0001172547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01660172,0.01618216,0.02203967,0.001740875,0.0008261864,0.01655367,0.01405523,0.004014289,0.7335859,0.001351701,0.0008925172,0.1721561],"study_design_scores_gemma":[0.00571477,0.0339137,0.09804341,0.0005310285,0.0005122821,0.01221662,0.0003291201,0.8258019,0.01872992,0.003222592,0.0004739563,0.000510701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638552,0.0003967178,0.02253923,0.000284271,0.00002768049,0.0002823462,0.000007494561,0.00002016354,0.01258686],"genre_scores_gemma":[0.9564004,0.0001285756,0.04311242,0.00006422061,0.00003649365,0.000001138321,0.0000134785,0.00002417699,0.0002190995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8217876,"threshold_uncertainty_score":0.4738103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04511831173831689,"score_gpt":0.3118526062202249,"score_spread":0.2667342944819081,"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."}}