{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001053581,0.0003358198,0.0004423009,0.0009411393,0.0003113327,0.0009915073,0.0005962418,0.0007720329,0.003169087],"category_scores_gemma":[0.0009943144,0.0001840841,0.0004881207,0.0007748119,0.0006156024,0.0006441309,0.0003801495,0.0009424934,0.0006463311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000924147,"about_ca_system_score_gemma":0.001505255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003097206,"about_ca_topic_score_gemma":0.002897084,"domain_scores_codex":[0.9996618,0.00007783457,0.00002135624,0.00009234114,0.0000911082,0.00005555195],"domain_scores_gemma":[0.9996452,0.0001153716,0.00006387833,0.00002859915,0.00009256401,0.00005429075],"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":[0.001088216,0.0003209372,0.1476628,0.001427058,0.0002402661,0.002021106,0.000304061,0.003025077,0.1673156,0.02036079,0.01503557,0.6411985],"study_design_scores_gemma":[0.0003946676,0.001858181,0.1249722,0.0006346591,0.00177433,0.01294315,0.001227671,0.03219627,0.3520559,0.04674914,0.4249953,0.0001985153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4405365,0.3246941,0.1176184,0.04033776,0.003299108,0.0004368977,0.005208264,0.001613259,0.06625586],"genre_scores_gemma":[0.8905993,0.04933165,0.04033551,0.004857287,0.001013718,0.0001198282,0.001600976,0.0001175799,0.01202418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003169087,"threshold_uncertainty_score":0.01060164,"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."}}