{"id":"W4405491031","doi":"10.1109/sensors60989.2024.10784736","title":"Ex-Vivo Testing of Smart Ureteral Stent Toward Hydronephrosis Monitoring via Standard Stenting","year":2024,"lang":"en","type":"article","venue":"","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hydronephrosis; Ex vivo; Stent; Ureter; Medicine; In vivo; Computer science; Urology; Radiology; Biomedical engineering; Internal medicine; Urinary system; Biology","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":[0.0003495024,0.0002561625,0.0002169696,0.0001469687,0.0001052589,0.0002133517,0.0001855627,0.0004544017,0.0005793309],"category_scores_gemma":[0.0004465018,0.0001421505,0.000237866,0.0001099376,0.0002534404,0.0002663389,0.0002123588,0.0002107472,0.0001260324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005550846,"about_ca_system_score_gemma":0.0001103076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001294536,"about_ca_topic_score_gemma":0.0001769048,"domain_scores_codex":[0.9997736,0.0000355274,0.0000192608,0.00004541567,0.00009949073,0.00002669394],"domain_scores_gemma":[0.9996995,0.00008754076,0.00007597468,0.00004188116,0.0000583933,0.00003671499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006302493,0.00003022222,0.0003497549,0.00002803492,0.000003692844,0.00006907796,0.00003227889,0.0001393886,0.9983855,0.00001714219,0.000009131634,0.0008726249],"study_design_scores_gemma":[0.000007373208,0.001498978,0.005453303,0.000004379648,0.0000179776,0.0002623641,0.00004270373,0.001832295,0.9904102,0.00002506624,0.0004379598,0.000007390892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993341,0.0001457541,0.006205522,0.00001422609,0.00001695186,0.00001444011,0.00004346079,0.00003562048,0.0001829187],"genre_scores_gemma":[0.9923612,0.0002819163,0.006655583,0.00002452291,0.00001059734,0.00002633134,0.00007727049,0.00001086201,0.0005516173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005793309,"threshold_uncertainty_score":0.001938045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05652785565129308,"score_gpt":0.2938984552425234,"score_spread":0.2373705995912303,"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."}}