{"id":"W2622681669","doi":"10.1016/j.trecan.2017.05.002","title":"Targeting Hypoxia-Inducible Factors for Antiangiogenic Cancer Therapy","year":2017,"lang":"en","type":"review","venue":"Trends in cancer","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Sunnybrook Hospital; University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Hypoxia (environmental); Angiogenesis; Cancer research; Hypoxia-inducible factors; Medicine; Biology; Bioinformatics; Chemistry; Gene; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002547383,0.0006550836,0.001485197,0.0002130374,0.0001801305,0.00006826695,0.0007115263,0.000685837,0.0002934487],"category_scores_gemma":[0.0000499931,0.0005406502,0.001029435,0.0002201783,0.00009547966,0.000009391772,0.0001171867,0.0002692216,0.00000338873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279006,"about_ca_system_score_gemma":0.0006201182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000948985,"about_ca_topic_score_gemma":0.001044668,"domain_scores_codex":[0.9974789,0.00007662802,0.0005693009,0.0009997245,0.000176758,0.0006986989],"domain_scores_gemma":[0.9983167,0.00003102869,0.0005782148,0.0008691938,0.00008103731,0.0001237911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002828309,0.00003878653,0.00004975295,0.0007415497,0.0003505681,5.838736e-7,0.00004457292,0.00001094556,0.0005661058,0.000003410223,0.02367616,0.9744893],"study_design_scores_gemma":[0.0007380818,0.00006018707,0.00006362912,0.001006446,0.00029521,0.000002023232,0.00000953453,0.000001982548,0.0006576409,0.000004562583,0.9965033,0.0006574353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003722018,0.9921222,0.00001839114,0.00003164612,0.00532566,0.0005645409,0.001123567,0.00001905806,0.0004227922],"genre_scores_gemma":[0.0001428051,0.9829725,0.0000899549,0.00006668466,0.006828904,0.001425441,0.0009796747,0.0001611281,0.007332923],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9738318,"threshold_uncertainty_score":0.9997045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1585474722290375,"score_gpt":0.4302872105850045,"score_spread":0.271739738355967,"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."}}