{"id":"W2955742145","doi":"10.1101/gr.246520.118","title":"High-resolution structural genomics reveals new therapeutic vulnerabilities in glioblastoma","year":2019,"lang":"en","type":"article","venue":"Genome Research","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Hospital for Sick Children; BC Cancer Agency; Princess Margaret Cancer Centre; SickKids Foundation; University of Toronto; University Health Network; Ontario Institute for Cancer Research; Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Stand Up To Cancer; Institute of Cancer Research; Government of Canada; Ontario Institute for Cancer Research; Canadian Institutes of Health Research; Cancer Research Society; Genome Canada; Alliance for Cancer Gene Therapy","keywords":"Biology; Chromatin; Genome; Computational biology; Gene; Enhancer; Genetics; ChIA-PET; Genomics; Transcription factor; Chromatin remodeling","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007004606,0.0001695509,0.0002078315,0.0001797403,0.000104387,0.00007111036,0.0004365669,0.000199377,0.0001712382],"category_scores_gemma":[0.00004438484,0.0001676347,0.00007277978,0.0002323886,0.00009878141,0.000006353886,0.0002981671,0.0003172523,0.0001510595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001975119,"about_ca_system_score_gemma":0.0002995126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002671673,"about_ca_topic_score_gemma":0.0003044099,"domain_scores_codex":[0.9980676,0.0002063413,0.0002975837,0.0004826546,0.000291966,0.0006539102],"domain_scores_gemma":[0.9990436,0.00003796929,0.00005260644,0.0006200822,0.0001206833,0.0001249871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002251112,0.00002755819,0.005340533,0.00006131445,0.00004188607,0.00000331164,0.0002894302,0.00831669,0.9804927,0.003132724,0.000200642,0.001868151],"study_design_scores_gemma":[0.01488181,0.01241348,0.4897442,0.0002070095,0.00006002744,0.0002692101,0.006305953,0.03581047,0.1516825,0.1885841,0.09539077,0.004650456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970745,0.001427371,0.0001660913,0.0002103521,0.0001550442,0.0004865621,0.00002626717,0.000009524339,0.0004443308],"genre_scores_gemma":[0.993772,0.0002441708,0.001241253,0.00006000403,0.0002883961,0.00001833324,0.0000774662,0.00003997515,0.00425839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8288102,"threshold_uncertainty_score":0.6835944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990227148698478,"score_gpt":0.2959665380158001,"score_spread":0.2760642665288153,"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."}}