{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002456283,0.00009993921,0.0001665218,0.00006013904,0.00007912106,0.0001307739,0.0003144896,0.0001111234,0.00007856416],"category_scores_gemma":[0.0001520963,0.0001015931,0.00006184661,0.0002415752,0.00003719768,0.00001206344,0.0001775612,0.00005518222,0.000005060929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002470701,"about_ca_system_score_gemma":0.0001364334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002216802,"about_ca_topic_score_gemma":0.007635976,"domain_scores_codex":[0.9991369,0.0000347967,0.0002140145,0.0004590843,0.00005270661,0.0001024779],"domain_scores_gemma":[0.9989476,0.0001329138,0.0001264397,0.0006496363,0.00009603267,0.00004736887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001380451,0.000254581,0.02499895,0.00006024991,0.003366784,0.000001505018,0.0001928052,0.0006447786,0.8840438,0.001669433,0.01204514,0.0713415],"study_design_scores_gemma":[0.001695207,0.0003615929,0.1431254,0.00002996599,0.002616323,0.000001201596,0.00009166438,0.3778703,0.2302172,0.001230792,0.2422417,0.0005187207],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7253587,0.0007411917,0.2632886,0.0003494123,0.0005185268,0.0007756496,0.008555122,0.00001797235,0.0003948247],"genre_scores_gemma":[0.9879484,0.0005436186,0.005026837,0.0000567538,0.0001323468,0.00005717031,0.00613576,0.00002011721,0.00007905681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6538267,"threshold_uncertainty_score":0.4261054,"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."}}