{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009691004,0.0001191241,0.0001383266,0.0002495005,0.00006478492,0.0002066797,0.0001121977,0.0002009262,0.0005225178],"category_scores_gemma":[0.0001116198,0.0001247235,0.0001349046,0.0001757328,0.0001422111,0.0001836963,0.0001426546,0.0002313341,0.00009099048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547168,"about_ca_system_score_gemma":0.000102738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005587155,"about_ca_topic_score_gemma":0.0009475062,"domain_scores_codex":[0.9999658,0.000004957291,0.000001424102,0.000005302697,0.00001384835,0.000008720702],"domain_scores_gemma":[0.9999677,0.000006923504,0.00001112453,0.00000477171,0.000004169035,0.000005332476],"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":[0.00009009869,0.0000124632,0.00199357,0.0000235419,0.00001044245,0.00007159152,0.00002659827,0.001525178,0.9917429,0.000439049,0.00005446027,0.004010094],"study_design_scores_gemma":[0.00001731463,0.0003463036,0.06216345,0.000009338826,0.00005187714,0.0008646934,0.0001155761,0.01916928,0.9114177,0.00236684,0.00346297,0.00001483955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931249,0.0006976278,0.0051034,0.0001221313,0.000003214966,0.000008045158,0.0001992021,0.00008808537,0.0006535243],"genre_scores_gemma":[0.9967128,0.0003169011,0.002462325,0.00003648409,0.000002097997,0.000005142754,0.0001908353,0.0000138497,0.00025948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005587155,"threshold_uncertainty_score":0.001848161,"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."}}