{"id":"W4409287940","doi":"10.20944/preprints202504.0582.v1","title":"SMARCB1 Deficiency as a Driver of the Hallmarks of Cancer in Rhabdoid Tumours: Novel Insights into Dysregulated Energy Metabolism, Emerging Targets, and Ongoing Clinical Trials","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Clinical trial; Cancer; Energy metabolism; Medicine; Cancer research; Bioinformatics; Biology; Neuroscience; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002046204,0.0003508482,0.001067269,0.0001497964,0.00006328491,0.000009382659,0.0006740105,0.0005955151,0.00005091347],"category_scores_gemma":[0.001392007,0.0002818662,0.0004742586,0.0002061305,0.0002659053,0.000005493353,0.002344158,0.0004839035,6.30213e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005048624,"about_ca_system_score_gemma":0.0008857828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004664083,"about_ca_topic_score_gemma":0.001411159,"domain_scores_codex":[0.9961526,0.0006470807,0.00167652,0.0009753504,0.0002899669,0.0002585251],"domain_scores_gemma":[0.9974011,0.000126959,0.001080045,0.00103691,0.0002766328,0.00007840679],"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":[0.0003829892,0.0004009554,0.1662371,0.000633465,0.0005498404,0.000001472936,0.001279959,0.01862705,0.8005417,0.0006300939,0.00003378623,0.01068159],"study_design_scores_gemma":[0.00201472,0.00003603498,0.2175163,0.00150443,0.000382264,0.000002052369,0.0001729345,0.004826065,0.7683887,0.001948344,0.002675971,0.0005321086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822205,0.01499851,0.0006165187,0.0001909249,0.0007139394,0.0003914477,0.00004002756,0.00001176826,0.0008163216],"genre_scores_gemma":[0.9914004,0.007551165,0.0003086872,0.0001082664,0.0001482091,0.00008115298,0.00003181563,0.00002524786,0.0003450596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05127921,"threshold_uncertainty_score":0.9999633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07722502905943186,"score_gpt":0.4033537400495921,"score_spread":0.3261287109901602,"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."}}