{"id":"W4390612111","doi":"10.1002/nau.25377","title":"How do we make progress in phenotyping patients with LUT such as OAB and underactive detrusor, including using urine markers and microbiome data, in order to personalize therapy? ICI‐RS 2023: Part 1","year":2024,"lang":"en","type":"article","venue":"Neurourology and Urodynamics","topic":"Urinary Bladder and Prostate Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Overactive bladder; Urinary system; Microbiome; Urinary urgency; Intensive care medicine; Bioinformatics; Urology; Internal medicine; Pathology","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":[0.01073208,0.0009016494,0.002823364,0.001350873,0.0008774056,0.00389871,0.001093507,0.003167757,0.00436856],"category_scores_gemma":[0.02339602,0.0003609785,0.002046761,0.0009636281,0.001145858,0.003435865,0.001446486,0.00524709,0.002045677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009428464,"about_ca_system_score_gemma":0.004074822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004030779,"about_ca_topic_score_gemma":0.006410238,"domain_scores_codex":[0.9974758,0.001240955,0.0003280361,0.0003487575,0.0004089911,0.0001974041],"domain_scores_gemma":[0.9851038,0.007476395,0.001468114,0.000963663,0.003729128,0.001258914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006831989,0.0002684178,0.03469507,0.004595746,0.001054281,0.000454009,0.0005932345,0.000764439,0.003829927,0.003952291,0.1435847,0.8055247],"study_design_scores_gemma":[0.0007199149,0.001660814,0.1231715,0.02301222,0.003241705,0.003754839,0.003824785,0.002502893,0.003614282,0.04386514,0.7900487,0.0005832899],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01939233,0.4603045,0.02093856,0.4665098,0.01465043,0.000351855,0.002580218,0.000849502,0.01442286],"genre_scores_gemma":[0.1823073,0.4543586,0.1449105,0.1725992,0.03325818,0.001000934,0.003888943,0.0005022492,0.007174042],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01073208,"threshold_uncertainty_score":0.05675739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402327336878083,"score_gpt":0.3235158454206394,"score_spread":0.2894925720518586,"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."}}