{"id":"W2982750119","doi":"10.1093/neuonc/noz175.433","title":"GENE-31. IDENTIFICATION OF CORE AND CONTEXT-SPECIFIC FITNESS GENES IN GLIOBLASTOMA STEM CELLS VIA GENOME-WIDE CRISPR-Cas9 SCREENS","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Biology; Context (archaeology); Stem cell; CRISPR; Computational biology; Gene; Genetics; SOX2; Epigenetics; Embryonic stem cell","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":[0.0003270245,0.0004391837,0.0004370117,0.0005316224,0.0002202035,0.000437589,0.0003198503,0.0003427795,0.001918142],"category_scores_gemma":[0.0002723766,0.0001621741,0.0003926754,0.0003458907,0.0003125401,0.0001191358,0.0004226626,0.0004154938,0.0006270559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004609514,"about_ca_system_score_gemma":0.0003579413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195875,"about_ca_topic_score_gemma":0.003585929,"domain_scores_codex":[0.9996836,0.00002941604,0.00004128636,0.00007088851,0.0001294211,0.00004547958],"domain_scores_gemma":[0.9997868,0.00005048652,0.00007442506,0.00002521399,0.00002414995,0.0000389925],"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":[0.00005437993,0.0000362895,0.0004799541,0.00004456777,0.000009328478,0.00009101524,0.00001625248,0.000427843,0.9958068,0.000191075,0.0001140239,0.002728368],"study_design_scores_gemma":[0.00001550421,0.000272384,0.005339222,0.000007193877,0.00003094014,0.0003071335,0.00003198821,0.004843907,0.9849615,0.0001203058,0.004057924,0.00001195432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600418,0.0008015769,0.02703503,0.0001982818,0.00004463569,0.0003932577,0.006839497,0.0009501313,0.003695849],"genre_scores_gemma":[0.9732915,0.0004278559,0.01650802,0.0001237235,0.000004520938,0.0002247999,0.004073958,0.0001589895,0.00518653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001918142,"threshold_uncertainty_score":0.006416798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298033057200978,"score_gpt":0.2735275995119839,"score_spread":0.2605472689399742,"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."}}