{"id":"W3111592258","doi":"10.1093/neuonc/noaa222.015","title":"ATRT-16. MODELLING ATRT THROUGH SWI/SNF COMPLEX DEFICIENCY IN GENETICALLY-ENGINEERED MOUSE MODELS","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"SMARCB1; Atypical teratoid rhabdoid tumor; Biology; Embryonic stem cell; Stem cell; Cancer research; Progenitor cell; Neural stem cell; Cell biology; Genetics; Medulloblastoma; Gene; Gene expression","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":[0.0001317008,0.0002885795,0.0003964984,0.00003823181,0.0000799562,0.00002191905,0.0003907652,0.0003531971,0.00004695598],"category_scores_gemma":[0.00008449756,0.0003024979,0.0001493314,0.0001930912,0.0001045354,0.000009722271,0.0002101147,0.0003447778,0.00002813251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009046272,"about_ca_system_score_gemma":0.0002551923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006243645,"about_ca_topic_score_gemma":0.00004461253,"domain_scores_codex":[0.9978665,0.0001448716,0.0005104588,0.0007491704,0.0001990339,0.0005299951],"domain_scores_gemma":[0.9991806,0.00005903239,0.0001021231,0.0003903258,0.00009101638,0.0001769132],"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":[0.00009762347,0.00007129218,0.00002572907,0.00002547521,0.000009837899,0.00001325282,0.0002208381,0.4451464,0.5511594,0.0002066883,0.001526899,0.001496538],"study_design_scores_gemma":[0.001712086,0.0009824872,0.000008121394,0.000009122324,0.00003199777,0.00004545263,0.0001363727,0.8512918,0.08743278,0.0008406367,0.05706018,0.0004489477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7387366,0.00117036,0.2521186,0.001621274,0.0001734164,0.0003053036,0.00002863265,0.00006885122,0.005776866],"genre_scores_gemma":[0.9810529,0.0009907873,0.01270637,0.004683869,0.0003374585,0.00003538802,0.00009290011,0.00006368668,0.00003668311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4637266,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05896338902273719,"score_gpt":0.2888073450202462,"score_spread":0.229843955997509,"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."}}