{"id":"W7135009996","doi":"10.5376/cge.2024.12.0023","title":"Application and Prospects of <i>VHL</i> Gene in Kidney Cancer Diagnosis","year":2024,"lang":"","type":"article","venue":"Cancer Genetics and Epigenetics","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Kidney cancer; Gene; Cancer; Kidney; Kidney disease; Mutation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002981022,0.0007035973,0.0009827922,0.0003890326,0.0001177749,0.0001167381,0.0002073984,0.0004274528,0.0002197238],"category_scores_gemma":[0.00004776044,0.0006873449,0.0001520794,0.0008136967,0.0005243963,0.00005041774,0.0002467355,0.0003188056,0.00001048866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005888639,"about_ca_system_score_gemma":0.001172627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003594645,"about_ca_topic_score_gemma":0.0008746454,"domain_scores_codex":[0.9960634,0.00008871556,0.001107239,0.001318743,0.0006094351,0.0008125167],"domain_scores_gemma":[0.9977262,0.0001444626,0.0002605871,0.0007418442,0.0002838177,0.0008430594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002444908,0.0005774297,0.4271665,0.007548504,0.0009405123,0.0001833839,0.003615774,0.001665751,0.2645048,0.001045825,0.002431793,0.2900753],"study_design_scores_gemma":[0.003243482,0.00153968,0.4510367,0.00384453,0.002616076,0.00003515481,0.00006398688,0.02707862,0.3763511,0.001087592,0.1319859,0.001117215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5308978,0.4653532,0.0002412844,0.0008578254,0.0006207901,0.001278763,0.0004832307,0.00001864378,0.0002484875],"genre_scores_gemma":[0.5666016,0.4305323,0.0005754413,0.000149751,0.0004886634,0.001152192,0.0000378987,0.00008940126,0.0003728225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2889581,"threshold_uncertainty_score":0.9995578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717346240973148,"score_gpt":0.2745633334153832,"score_spread":0.2573898710056517,"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."}}