{"id":"W2078160295","doi":"10.1038/ncomms6203","title":"Hypoxia promotes stem cell phenotypes and poor prognosis through epigenetic regulation of DICER","year":2014,"lang":"en","type":"article","venue":"Nature Communications","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":232,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto","funders":"National Cancer Institute; KWF Kankerbestrijding; Seventh Framework Programme; Cure Brain Cancer Foundation; Canadian Institutes of Health Research; BC Cancer Agency; U.S. Public Health Service; Government of Ontario; National Center for Advancing Translational Sciences; Ontario Institute for Cancer Research; Cancer Research UK; Breast Cancer Research Foundation","keywords":"Epigenetics; Dicer; Phenotype; Hypoxia (environmental); microRNA; Stem cell; Biology; Epigenesis; Cell biology; Bioinformatics; Computational biology; Medicine; Genetics; DNA methylation; Chemistry; Gene expression; RNA interference; RNA; Gene; Oxygen","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":[0.0001292174,0.0001004292,0.0001024263,0.00002844443,0.000107327,0.00001411955,0.0003170583,0.000230493,0.000005435013],"category_scores_gemma":[0.00005036102,0.00009742702,0.00004415391,0.0001006555,0.0001397545,0.000007267861,0.0002035051,0.0001244927,0.000002367779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000841545,"about_ca_system_score_gemma":0.00002932719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008062101,"about_ca_topic_score_gemma":0.00005015269,"domain_scores_codex":[0.9992999,0.0001414922,0.0001860184,0.0001858577,0.00009061764,0.00009608842],"domain_scores_gemma":[0.9987717,0.00004566356,0.0001490865,0.0008395058,0.0001594905,0.00003460329],"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":[0.0000154933,0.000124074,0.003487938,0.00005307004,0.00003039934,1.33451e-8,0.0001053197,0.00001702466,0.9876002,0.002123967,0.0006769616,0.005765506],"study_design_scores_gemma":[0.0004009158,0.0001177578,0.1210017,0.00004018081,0.00009254483,0.000002344296,0.00004175656,0.0009086952,0.8312595,0.001139277,0.04478836,0.000206975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721749,0.02159517,0.001621794,0.001123664,0.0000536784,0.0005107132,0.00003052229,0.00002533048,0.002864164],"genre_scores_gemma":[0.9874595,0.0003895347,0.01165965,0.00008225544,0.00004452625,0.00003403915,0.0002103815,0.00001762887,0.0001024884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563408,"threshold_uncertainty_score":0.3972959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117630557194101,"score_gpt":0.2569683824358588,"score_spread":0.2452053267164487,"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."}}