{"id":"W2899104725","doi":"","title":"Hypoxia Promotes Stem Cell Phenotypes, Resistance to Therapy and Poor Prognosis through Epigenetic Regulation of DICER","year":2017,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Epigenetics; Dicer; Hypoxia (environmental); Phenotype; Epigenetic therapy; microRNA; Stem cell; Biology; Cancer research; Medicine; Bioinformatics; Cell biology; Genetics; DNA methylation; RNA interference; Gene expression; Chemistry; RNA; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001578669,0.0001064537,0.0001853332,0.0002242867,0.0001396639,0.0002424572,0.0000776103,0.00009646195,0.0007453092],"category_scores_gemma":[0.0001632329,0.0001026411,0.0001144982,0.0001280736,0.0001502215,0.0001069066,0.0001998558,0.0001809553,0.0001333203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653145,"about_ca_system_score_gemma":0.0001231645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002219909,"about_ca_topic_score_gemma":0.0003536144,"domain_scores_codex":[0.9998901,0.00001883588,0.00001169812,0.00002483157,0.00003485753,0.00001969948],"domain_scores_gemma":[0.999856,0.0000213041,0.0000667085,0.00001339014,0.00001760822,0.00002494367],"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":[0.0001275973,0.00001199816,0.00340098,0.00002932127,0.000009494391,0.0001328861,0.00004182886,0.00007942576,0.9920756,0.0001923003,0.0000893975,0.003809212],"study_design_scores_gemma":[0.00002825948,0.0005182326,0.1363934,0.00001136228,0.00004441302,0.002170198,0.00009803472,0.00194518,0.8504013,0.0003723181,0.008004242,0.00001305362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937547,0.002070339,0.002205653,0.0001109343,0.00001083839,0.00001799621,0.0002518109,0.0000474516,0.00153038],"genre_scores_gemma":[0.9975902,0.0006559676,0.0006824263,0.00003597257,0.000007795463,0.00001258945,0.0001560548,0.00000542826,0.0008535041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007453092,"threshold_uncertainty_score":0.002493262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352624502231411,"score_gpt":0.2409630453088177,"score_spread":0.2274368002865036,"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."}}