{"id":"W2087351768","doi":"10.1038/onc.2014.378","title":"Tumor hypoxia induces nuclear paraspeckle formation through HIF-2α dependent transcriptional activation of NEAT1 leading to cancer cell survival","year":2014,"lang":"en","type":"article","venue":"Oncogene","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":313,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"King Abdulaziz University; Cancer Research UK; Wellcome Trust; Ludwig Institute for Cancer Research","keywords":"Biology; Carcinogenesis; Cancer research; Cell biology; Long non-coding RNA; Cell cycle; Transcriptional regulation; Regulation of gene expression; RNA; Cell; Cancer; Gene expression; Gene; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002120656,0.000147063,0.0001676683,0.00004444438,0.00009664414,0.0000240158,0.0001981847,0.0001287611,0.0001648364],"category_scores_gemma":[0.000037161,0.0001561488,0.00008620071,0.0001332136,0.00002744224,0.00002300359,0.00006585402,0.0001021554,0.00002556596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128473,"about_ca_system_score_gemma":0.00009626526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003203773,"about_ca_topic_score_gemma":0.0002829654,"domain_scores_codex":[0.9987302,0.00009018533,0.0002435778,0.0003090808,0.0003660441,0.0002609116],"domain_scores_gemma":[0.9994022,0.0000105277,0.0001045519,0.0002474672,0.0001481517,0.00008712106],"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":[0.0001556099,0.00006209914,0.000005817159,0.00003209194,0.00003084683,6.08265e-7,0.0001657892,0.001804078,0.9930459,0.0004111827,0.0003710818,0.003914934],"study_design_scores_gemma":[0.0006044469,0.000309474,0.0001249795,0.00002774576,0.00001797557,0.00000419151,0.0001298125,0.0002875206,0.9763201,0.00008519292,0.02191965,0.0001688387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302297,0.0002722195,0.0651112,0.0002151517,0.0002212342,0.0002895974,0.00003929297,0.00001391008,0.003607678],"genre_scores_gemma":[0.9973144,0.0001666685,0.001511936,0.0002718311,0.0002618011,0.00004068574,0.00009762587,0.00003741583,0.0002976522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06708466,"threshold_uncertainty_score":0.6367561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318895278914291,"score_gpt":0.2884049443652631,"score_spread":0.2652159915761202,"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."}}