{"id":"W2081753042","doi":"10.1158/0008-5472.can-06-2722","title":"Suppression of the Hypoxia-Inducible Factor-1 Response in Cervical Carcinoma Xenografts by Proteasome Inhibitors","year":2007,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Bortezomib; MG132; Proteasome inhibitor; In vivo; Hypoxia (environmental); Cancer research; Vascular endothelial growth factor; Tumor hypoxia; Hypoxia-inducible factors; Biology; Chemistry; Pharmacology; Immunology; Internal medicine; Medicine; Radiation therapy; Multiple myeloma; VEGF receptors; 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":[],"consensus_categories":[],"category_scores_codex":[0.001694755,0.0001477955,0.0001903696,0.0001581724,0.0001182519,0.00001928505,0.0004789476,0.0002550555,0.0000655596],"category_scores_gemma":[0.0003292872,0.0001107933,0.0001045006,0.0005752268,0.0002887541,0.000007708076,0.0003486329,0.000459769,0.000003496283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001035888,"about_ca_system_score_gemma":0.0005358665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008918397,"about_ca_topic_score_gemma":0.0003413539,"domain_scores_codex":[0.9975663,0.0004371947,0.0003032784,0.0004483629,0.0006051607,0.0006396322],"domain_scores_gemma":[0.9988507,0.00007059077,0.0000688917,0.0006308105,0.0002158614,0.0001631354],"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":[0.001943072,0.00008114488,0.01183889,0.00003843902,0.000009795771,0.000001487786,0.00021909,0.000004815689,0.9725481,0.000006437307,0.01064373,0.002664948],"study_design_scores_gemma":[0.0006598522,0.0001372174,0.1111819,0.00004418559,0.000002502469,0.000002149229,0.0001233833,0.000001181075,0.7465494,0.00001509032,0.1411818,0.0001012883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991006,0.006747269,0.00001380508,0.0004429691,0.0008128296,0.0006506974,0.00008132289,0.000005482072,0.0002395799],"genre_scores_gemma":[0.9970839,0.0003311677,0.00001908953,0.00006420518,0.0009230617,0.0001093859,0.000011814,0.00002989037,0.001427472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2259987,"threshold_uncertainty_score":0.451802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036075479050316,"score_gpt":0.3510025553392713,"score_spread":0.3149270762889553,"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."}}