{"id":"W3206101222","doi":"10.1186/s12943-021-01416-5","title":"Experimental and computational modeling for signature and biomarker discovery of renal cell carcinoma progression","year":2021,"lang":"en","type":"article","venue":"Molecular Cancer","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Junta de Comunidades de Castilla-La Mancha; Conseil Régional Aquitaine; Institut National Du Cancer; Université de Bordeaux; Agence Nationale de la Recherche; McGill University","keywords":"Renal cell carcinoma; Biology; Transcriptome; Tumor progression; Clear cell renal cell carcinoma; Cancer; Circulating tumor cell; Cancer research; Kidney cancer; Metastasis; Biomarker; Primary tumor; Tumor initiation; Computational biology; Oncology; Gene; Medicine; Gene expression; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003103798,0.00008080246,0.0001451041,0.00002492785,0.00003275882,0.00001582905,0.00001534449,0.00005048949,0.00001551399],"category_scores_gemma":[0.000003428337,0.00006865167,0.0000498131,0.00005441752,0.00003612448,0.00004719793,0.00002713553,0.00004576715,3.567395e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000274483,"about_ca_system_score_gemma":0.0001086709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001396674,"about_ca_topic_score_gemma":9.525611e-7,"domain_scores_codex":[0.9994397,0.00001292069,0.0001107587,0.0002052037,0.0001383634,0.00009303666],"domain_scores_gemma":[0.9997625,0.000008478485,0.00003440873,0.00006308625,0.00008639468,0.00004513401],"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":[0.0002316609,0.00009962916,0.002795158,0.0002371964,0.00004162779,0.00001793264,0.0001690882,0.0006463027,0.9917421,0.00007090531,0.0001840373,0.003764312],"study_design_scores_gemma":[0.001593615,0.0001518949,0.001793442,0.0001649066,0.00007991233,0.000011135,0.0001497231,0.07306588,0.9227581,0.00004264387,0.00009907671,0.00008963475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389312,0.03792182,0.02248885,0.0003161645,0.00003790065,0.0002081529,0.00002877347,0.000004793656,0.00006231114],"genre_scores_gemma":[0.9961565,0.00004553578,0.003359096,0.0002388096,0.00002335296,0.00008720851,0.00003497842,0.00001443514,0.00004008761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07241958,"threshold_uncertainty_score":0.2799534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884333135978475,"score_gpt":0.3024037859855981,"score_spread":0.2835604546258134,"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."}}