{"id":"W4247084733","doi":"10.3410/f.725832242.793543493","title":"Faculty Opinions recommendation of Metabolic Modulation of Clear-cell Renal Cell Carcinoma with Dichloroacetate, an Inhibitor of Pyruvate Dehydrogenase Kinase.","year":2018,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Angiogenesis; TFAM; Cancer research; Apoptosis; Mitochondrion; Biology; Clear cell renal cell carcinoma; Glycolysis; Warburg effect; Pyruvate dehydrogenase kinase; Cell growth; Hypoxia-inducible factors; In vivo; Anaerobic glycolysis; Pyruvate dehydrogenase complex; Endocrinology; Internal medicine; Chemistry; Cell biology; Medicine; Renal cell carcinoma; Biochemistry; Metabolism; Enzyme; Mitochondrial biogenesis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001788651,0.000709109,0.0006583316,0.001270909,0.001255654,0.002735381,0.001250679,0.004601333,0.3976303],"category_scores_gemma":[0.006500256,0.0004024912,0.0007317896,0.001772862,0.0005242407,0.001357472,0.0009548063,0.002413882,0.2075772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001927023,"about_ca_system_score_gemma":0.00568374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007163033,"about_ca_topic_score_gemma":0.02349772,"domain_scores_codex":[0.9987639,0.0001281233,0.0001205795,0.0001196181,0.0007209,0.0001468232],"domain_scores_gemma":[0.9933252,0.0004528249,0.0004507305,0.000272058,0.003853522,0.001645641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006927939,0.00008614275,0.0003159203,0.0002580198,0.000007623406,0.00009955988,0.00001355426,0.00004999463,0.001867809,0.0003735182,0.9387245,0.05813413],"study_design_scores_gemma":[0.00004375674,0.00003770567,0.001209192,0.0001307483,0.000006554606,0.00007503955,0.00002690422,0.00006769367,0.0003981785,0.0003144671,0.9976819,0.000007868378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002892928,0.006681405,0.004509278,0.1498873,0.06209758,0.002051786,0.01358257,0.002518506,0.7557787],"genre_scores_gemma":[0.009462926,0.009444501,0.006393609,0.04107247,0.023242,0.0006824279,0.00732543,0.0005343927,0.9018421],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3976303,"threshold_uncertainty_score":0.8592073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661916465035622,"score_gpt":0.2968188434231311,"score_spread":0.2801996787727749,"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."}}