{"id":"W3214962586","doi":"10.3390/curroncol28060424","title":"Changes in Brain Energy and Membrane Metabolism in Glioblastoma following Chemoradiation","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oesterreichische Nationalbank","keywords":"Medicine; Biomarker; Magnetic resonance imaging; Nuclear medicine; Brain tumor; In vivo magnetic resonance spectroscopy; Metabolite; Parenchyma; Glioblastoma; Pathology; Cohort; Infiltration (HVAC); Internal medicine; Energy metabolism; Oncology; Radiology; Cancer research; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009895051,0.0001721216,0.0002850047,0.0003636823,0.0001481873,0.0002187266,0.0000884187,0.0001944429,0.0004189255],"category_scores_gemma":[0.0004637091,0.00008449332,0.0001226214,0.0002491605,0.0002049664,0.0001630895,0.0001676735,0.0001260609,0.0001003949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002478099,"about_ca_system_score_gemma":0.0001182162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435397,"about_ca_topic_score_gemma":0.00251038,"domain_scores_codex":[0.9999467,0.00001247733,0.000005612666,0.00001001469,0.000009618202,0.00001550285],"domain_scores_gemma":[0.9998515,0.00001501319,0.00008208629,0.000006573999,0.00001576188,0.0000290152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00509697,0.000159116,0.9052251,0.0001008871,0.00014896,0.002532579,0.0005385373,0.0003070942,0.05765813,0.00003616718,0.0001481716,0.02804828],"study_design_scores_gemma":[0.000009188077,0.0005189201,0.9968817,0.000002532243,0.00002609514,0.001115716,0.0001122127,0.00008541568,0.001118377,0.00002194558,0.0001050817,0.00000291058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997445,0.0001428646,0.00002281548,0.000006439238,8.748269e-7,0.000001420981,0.00001227738,0.000001664651,0.00006725761],"genre_scores_gemma":[0.9997836,0.00009537707,0.00002775144,0.000006403433,0.000001956915,0.000001607565,0.00003952366,7.436004e-7,0.000043097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002435397,"threshold_uncertainty_score":0.004842401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860127017179975,"score_gpt":0.3437405124254582,"score_spread":0.3051392422536584,"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."}}