{"id":"W2808821352","doi":"10.1093/neuonc/noy059.010","title":"ATRT-11. MOLECULAR SUBGROUPS OF ATYPICAL TERATOID/RHABDOID TUMOR (ATRT): TOWARDS A CONSENSUS","year":2018,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Occupational Cancer Research Centre; Hospital for Sick Children","funders":"","keywords":"Atypical teratoid rhabdoid tumor; DNA methylation; SMARCB1; Biology; Cancer research; Transcriptome; Wnt signaling pathway; Bioinformatics; Epigenetics; Gene; Genetics; Gene expression; Chromatin remodeling; Medulloblastoma","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005411518,0.001647286,0.002910574,0.00677547,0.001377087,0.002834325,0.004965841,0.002931465,0.003004016],"category_scores_gemma":[0.004084744,0.0008051248,0.002907268,0.003899126,0.001456899,0.003181375,0.002498021,0.005286427,0.005963191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002322486,"about_ca_system_score_gemma":0.006099825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004087917,"about_ca_topic_score_gemma":0.004040581,"domain_scores_codex":[0.9974221,0.0004348984,0.0007570852,0.0004596427,0.000495904,0.0004304423],"domain_scores_gemma":[0.9933055,0.0009256015,0.0007120639,0.0003974354,0.00329334,0.001366093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003106849,0.0007079554,0.05428979,0.01120374,0.000735666,0.004950447,0.00141532,0.005720424,0.04792261,0.009755299,0.1388495,0.7213424],"study_design_scores_gemma":[0.0004131501,0.001870393,0.1138055,0.006846109,0.001723804,0.01662922,0.003784308,0.007604572,0.01574728,0.01265928,0.8186824,0.0002339593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.151104,0.3976455,0.2060481,0.1249145,0.01639193,0.002909937,0.01977903,0.005753464,0.07545343],"genre_scores_gemma":[0.2427353,0.2048801,0.3398028,0.02165307,0.01187796,0.002863501,0.1321542,0.001480609,0.04255236],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00677547,"threshold_uncertainty_score":0.02861917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253281783592387,"score_gpt":0.2871141989230279,"score_spread":0.2745813810871041,"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."}}