{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003143927,0.0001787148,0.0002664913,0.00030474,0.0002470922,0.0004586988,0.0002147194,0.0002440505,0.002166792],"category_scores_gemma":[0.0003493608,0.0002107277,0.000234531,0.0001458902,0.0002815526,0.0002411378,0.0004214096,0.0004631554,0.0003877786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002698857,"about_ca_system_score_gemma":0.0001988767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000349211,"about_ca_topic_score_gemma":0.0005944984,"domain_scores_codex":[0.9997366,0.00005404717,0.0000276043,0.00006416473,0.00005878224,0.0000587755],"domain_scores_gemma":[0.9996499,0.00004068066,0.0001536737,0.00004069751,0.00003986793,0.00007506312],"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":[0.0003359037,0.00002719167,0.007247419,0.00006253418,0.00003504576,0.0003356205,0.00005794673,0.0001104983,0.9851125,0.00077005,0.0005377356,0.005367693],"study_design_scores_gemma":[0.00006961005,0.0005535733,0.1705118,0.00002450235,0.00009520201,0.001830883,0.0001739281,0.002247556,0.8115346,0.0008685334,0.01206215,0.00002772217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826729,0.004001052,0.006320009,0.0008028182,0.0001207743,0.00003678162,0.0008185254,0.0001932695,0.005033902],"genre_scores_gemma":[0.9960228,0.0005950419,0.0008617979,0.0001401646,0.00002869631,0.00001645744,0.0002476155,0.000019296,0.002068036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002166792,"threshold_uncertainty_score":0.00724858,"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."}}