{"id":"W3111829178","doi":"10.22034/icrj.2019.100896","title":"MRI-BASED OXYGENATION IMAGING IN DIFFERENTIATING HIGH VS LOW- GRADE GLIOMA","year":2019,"lang":"en","type":"article","venue":"","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Glioma; Anaplastic astrocytoma; Magnetic resonance imaging; Biopsy; Glioblastoma; Astrocytoma; Pathological; Radiology; Hypoxia (environmental); Pathology; Nuclear medicine; Oxygen","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":[0.0006581061,0.0002918026,0.0001629184,0.0006598445,0.00009085766,0.0003528274,0.0001632726,0.0003836669,0.0008529827],"category_scores_gemma":[0.001154695,0.00009459782,0.0001137358,0.0002110768,0.0001741239,0.0003078446,0.0002298696,0.0001971198,0.0003193534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001430979,"about_ca_system_score_gemma":0.0001063793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002903698,"about_ca_topic_score_gemma":0.0006182878,"domain_scores_codex":[0.99989,0.00004116372,0.00001178826,0.00001823232,0.00001660527,0.00002230273],"domain_scores_gemma":[0.9995543,0.0001258053,0.000118791,0.00001770027,0.00007489199,0.0001083564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00270836,0.0001324413,0.9485902,0.00007887409,0.00004683258,0.0004800282,0.00006301646,0.0002403619,0.02802487,0.000052285,0.0001960438,0.01938673],"study_design_scores_gemma":[0.0001096569,0.002397728,0.9785541,0.00003086418,0.0001461759,0.003280459,0.0002145924,0.002630735,0.01163327,0.000189618,0.0007970635,0.00001562543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980696,0.0007131799,0.0005334708,0.0000297832,0.00000794988,0.00001927383,0.00004246089,0.00001002251,0.0005741882],"genre_scores_gemma":[0.9991491,0.0001479032,0.0004911512,0.00001417317,0.00001203723,0.000008914366,0.00008534217,0.000001602051,0.00008976922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008529827,"threshold_uncertainty_score":0.003480434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004086562554772837,"score_gpt":0.2189541809062664,"score_spread":0.2148676183514936,"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."}}