{"id":"W2123970979","doi":"10.1093/neuonc/nou040","title":"MRI biomarkers identify the differential response of glioblastoma multiforme to anti-angiogenic therapy","year":2014,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Toronto Western Hospital; Hospital for Sick Children; Princess Margaret Cancer Centre","funders":"University of Toronto; AstraZeneca","keywords":"Medicine; Sunitinib; Glioma; Vascularity; Bevacizumab; Effective diffusion coefficient; Radiation therapy; Imaging biomarker; Perfusion; Angiogenesis; Vascular permeability; Magnetic resonance imaging; Pathology; Cancer research; Cancer; Internal medicine; Radiology; Chemotherapy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003540888,0.0003439857,0.0003663785,0.0006140451,0.00007485293,0.0002782025,0.0001536226,0.0003552743,0.0007962078],"category_scores_gemma":[0.0005085708,0.0001270124,0.0001832481,0.0002318245,0.0001564262,0.000258777,0.0001195028,0.000346453,0.000226763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004326631,"about_ca_system_score_gemma":0.0002050342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107538,"about_ca_topic_score_gemma":0.001021021,"domain_scores_codex":[0.9999136,0.00001361037,0.000006875132,0.00001765676,0.00002391394,0.00002431375],"domain_scores_gemma":[0.9997179,0.00004594061,0.0001108334,0.0000116887,0.00006511202,0.00004855573],"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":[0.001161313,0.0001824941,0.03040872,0.0001885736,0.0001065421,0.0001776245,0.00005026248,0.0007830049,0.9428874,0.0000961572,0.0004138698,0.023544],"study_design_scores_gemma":[0.00007298493,0.00405391,0.367022,0.00004183681,0.0003515823,0.001584442,0.0001263279,0.005096954,0.61735,0.0002160307,0.0040514,0.0000325693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923511,0.003315242,0.002398354,0.000112452,0.00001724426,0.00005395102,0.0003221521,0.000119327,0.001310176],"genre_scores_gemma":[0.9949825,0.001265006,0.002446189,0.00009421938,0.00001624396,0.00006375117,0.0005277102,0.00001529878,0.000588993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001107538,"threshold_uncertainty_score":0.003139257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185894656152671,"score_gpt":0.3137509253244367,"score_spread":0.2951614597091696,"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."}}