{"id":"W4255102952","doi":"10.1158/1538-7445.am2019-1051","title":"Abstract 1051: Dianhydrogalactitol (VAL-083) reduces glioblastoma tumor growth upon bevacizumab-induced hypoxia, <i>in vivo</i>","year":2019,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Delmar (Canada)","funders":"","keywords":"Bevacizumab; Temozolomide; Cancer research; In vivo; Medicine; Downregulation and upregulation; Glucose transporter; Brain tumor; Glioma; Pathology; Internal medicine; Chemistry; Chemotherapy; Biology","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":[0.00005807876,0.00036809,0.0002757267,0.0001491732,0.0001011368,0.0001778774,0.0002144074,0.0003012036,0.002000535],"category_scores_gemma":[0.00005245292,0.00008576766,0.0001791484,0.0001495752,0.0001548295,0.0001163852,0.00008847292,0.0006107722,0.0003268294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002906814,"about_ca_system_score_gemma":0.0003211792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227652,"about_ca_topic_score_gemma":0.001856005,"domain_scores_codex":[0.9999446,0.000009525411,0.000004146698,0.000009394893,0.00001189782,0.00002036049],"domain_scores_gemma":[0.9999653,0.000003046237,0.000009472125,0.000002811501,0.000003974626,0.0000154655],"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":[0.002839195,0.0005555448,0.0002566478,0.0001081581,0.00002940937,0.00004157524,0.00001483752,0.0001598259,0.9897545,0.0001150394,0.0006001638,0.005525067],"study_design_scores_gemma":[0.0005216449,0.010143,0.004436667,0.00001282519,0.00007146844,0.0002152323,0.00002754269,0.000907362,0.9796634,0.00005141502,0.003940511,0.000008916546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949505,0.001178536,0.0006367801,0.0002226124,0.00006738137,0.00005294699,0.0007688663,0.0001637779,0.001958604],"genre_scores_gemma":[0.9945904,0.0006039975,0.0009631541,0.0001504514,0.00001315334,0.00006552546,0.001307718,0.00002246598,0.002283167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002000535,"threshold_uncertainty_score":0.006692469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319639472760599,"score_gpt":0.3269528535132862,"score_spread":0.3037564587856803,"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."}}