{"id":"W4411242053","doi":"10.3390/curroncol32060348","title":"Integrating Radiologic and Clinical Features to Predict VSX1 Expression in Clear Cell Renal Cell Carcinoma","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Renal cell carcinoma; Expression (computer science); Pathology; Cell; Clear cell renal cell carcinoma; Computational biology; Cancer research; Biology; Genetics; Computer science","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":[0.00105854,0.0003627866,0.0003883831,0.001056801,0.0001961574,0.001117717,0.0003226182,0.0005459241,0.001283159],"category_scores_gemma":[0.001725207,0.0001378506,0.000351243,0.0009385349,0.0002898791,0.0005170825,0.0003421269,0.0005534476,0.0003884825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002683326,"about_ca_system_score_gemma":0.0002990407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00162196,"about_ca_topic_score_gemma":0.003234309,"domain_scores_codex":[0.9998161,0.00005797117,0.00002398684,0.00003029226,0.00004519332,0.00002646589],"domain_scores_gemma":[0.9994535,0.000211888,0.0001279096,0.00002758657,0.0001140626,0.00006502102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000652805,0.00007307775,0.9131612,0.0001159954,0.0001704845,0.0002366425,0.00007191583,0.001767243,0.007668905,0.0002018134,0.001248241,0.07463169],"study_design_scores_gemma":[0.00004582798,0.0004749556,0.966469,0.0001396099,0.0004775962,0.001618336,0.0004022108,0.01509783,0.008054011,0.0016888,0.005494354,0.0000375122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818799,0.009600612,0.002790603,0.001372098,0.0000877036,0.00003284021,0.0006442236,0.00006606214,0.00352601],"genre_scores_gemma":[0.993037,0.002640302,0.002540705,0.0002082455,0.0001257677,0.00001394773,0.000603459,0.00001230793,0.0008182873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00162196,"threshold_uncertainty_score":0.005598128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06952683720843468,"score_gpt":0.4003604572614949,"score_spread":0.3308336200530603,"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."}}