{"id":"W4403537774","doi":"10.1016/j.esmoop.2024.103864","title":"125P Detection and analysis of medulloblastoma subtype-specific copy number variations from RNA-seq data for improved risk-based subtype classification","year":2024,"lang":"en","type":"article","venue":"ESMO Open","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medulloblastoma; RNA-Seq; Copy-number variation; Computational biology; Biology; Computer science; Genetics; Gene; Gene expression; Transcriptome; Genome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076489,0.0005424995,0.0006916572,0.001706219,0.000439962,0.001208474,0.0004991755,0.0005799587,0.00223575],"category_scores_gemma":[0.002956941,0.0003657396,0.0006817338,0.00095155,0.0002238091,0.0003491707,0.0006429235,0.001069832,0.001092442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004411383,"about_ca_system_score_gemma":0.0006640017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00496648,"about_ca_topic_score_gemma":0.01334716,"domain_scores_codex":[0.9991365,0.00006395581,0.00007086045,0.0003911184,0.0002463085,0.00009128857],"domain_scores_gemma":[0.9990651,0.000429173,0.000155276,0.0001102517,0.000186377,0.00005374932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008760705,0.000128443,0.2041585,0.0009138467,0.0006668785,0.0006954441,0.0006296766,0.006822724,0.6244712,0.00174667,0.007316011,0.1515746],"study_design_scores_gemma":[0.000175577,0.0003019311,0.5366506,0.000366337,0.001471546,0.003277321,0.0007313444,0.1206224,0.2679061,0.008692851,0.05959597,0.0002080144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8462905,0.004565021,0.08789476,0.0008784686,0.0002596191,0.0002303525,0.05152769,0.002370684,0.005982939],"genre_scores_gemma":[0.8883647,0.001239515,0.06831064,0.0006364147,0.0001135282,0.0002726621,0.03695139,0.0007233247,0.003387868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00496648,"threshold_uncertainty_score":0.009875119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090313593209147,"score_gpt":0.3049265348308791,"score_spread":0.2740233988987876,"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."}}