{"id":"W2993515799","doi":"10.1038/s41586-019-1815-x","title":"The molecular landscape of ETMR at diagnosis and relapse","year":2019,"lang":"en","type":"article","venue":"Nature","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":146,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children; University of Calgary; McGill University","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; Deutsche Krebshilfe; Bundesministerium für Bildung und Forschung; Russian Science Foundation; BeiGene; Deutsches Krebsforschungszentrum; Max and Minnie Tomerlin Voelcker Fund; Cancer Prevention and Research Institute of Texas; AstraZeneca","keywords":"Somatic cell; Genome instability; Germline; Biology; Mutation; Cancer research; Genetics; Genome; Chromosome instability; Gene; DNA; DNA damage; Chromosome","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":[0.0000705127,0.00005392299,0.00005641263,0.000006237568,0.00003175376,0.000006041589,0.00007740073,0.0003679741,0.00001489941],"category_scores_gemma":[0.00003072518,0.00003571604,0.00003742439,0.00002817013,0.00002253184,6.326637e-7,0.00006579125,0.0001914201,0.00000355479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003554735,"about_ca_system_score_gemma":0.00001331294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002328949,"about_ca_topic_score_gemma":0.000007821269,"domain_scores_codex":[0.9996604,0.00001431787,0.00006776842,0.0001073703,0.00007434215,0.00007574716],"domain_scores_gemma":[0.9996902,0.00001322541,0.0000357799,0.0002071564,0.00003385561,0.000019757],"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":[0.0001532234,0.00002444715,0.03970244,0.00006396152,0.00008472452,0.000001704613,0.00007971545,0.0001765137,0.9229943,0.0004744063,0.02912524,0.007119371],"study_design_scores_gemma":[0.0007477306,0.0001762189,0.005738488,0.00003912557,0.00002493348,0.00001531797,0.00008758099,0.0003022724,0.7192739,0.0001501192,0.2732729,0.0001714668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672042,0.03096327,0.000006281696,0.0002495254,0.0001013358,0.00006451526,0.000007217398,0.000003180688,0.001400494],"genre_scores_gemma":[0.9968449,0.001683474,0.00008558788,0.0002965493,0.00003658695,0.000005963702,0.00001604229,0.000007732941,0.001023184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2441477,"threshold_uncertainty_score":0.2838153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002584305990546613,"score_gpt":0.2287256412165645,"score_spread":0.2261413352260179,"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."}}