{"id":"W1880365866","doi":"","title":"A CT method to measure hemodynamics in brain tumors: validation and application of cerebral blood flow maps.","year":2000,"lang":"en","type":"article","venue":"PubMed","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Medicine; Cerebral blood flow; Perfusion; Hemodynamics; Normocapnia; Nuclear medicine; Blood flow; Perfusion scanning; Radiation therapy; White matter; Brain tumor; Magnetic resonance imaging; Radiology; Pathology; Hypercapnia; Cardiology; Internal medicine; Respiratory system","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":[0.001852847,0.0005477496,0.0001917053,0.001481472,0.0001660589,0.0003255305,0.0004306141,0.0005129329,0.000796643],"category_scores_gemma":[0.004825117,0.0003097228,0.0002107289,0.0004703987,0.000611509,0.0005307457,0.0002881924,0.0005573887,0.0002463169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003845066,"about_ca_system_score_gemma":0.0004997848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453702,"about_ca_topic_score_gemma":0.001330869,"domain_scores_codex":[0.9995043,0.0001822714,0.000030541,0.0001115221,0.0001530237,0.00001837716],"domain_scores_gemma":[0.9976742,0.001012839,0.0003899385,0.000272702,0.0005403104,0.0001099549],"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":[0.0004054093,0.00009274446,0.02304208,0.0001422697,0.00005920246,0.0001813863,0.00008553494,0.001737285,0.9116697,0.0005429411,0.000327225,0.06171423],"study_design_scores_gemma":[0.0001692119,0.004798486,0.2508061,0.0001350344,0.0004829714,0.01736533,0.0001898274,0.0745701,0.6370313,0.001181549,0.01311183,0.0001582809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4250524,0.005367826,0.5649396,0.0002973564,0.00008535987,0.0004350014,0.0004914755,0.0004969325,0.002834121],"genre_scores_gemma":[0.7819565,0.002067578,0.2142255,0.0000950638,0.00004050141,0.000411766,0.0002611714,0.0000672985,0.0008746975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001852847,"threshold_uncertainty_score":0.009798884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558684071348126,"score_gpt":0.2643413401816751,"score_spread":0.2487544994681938,"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."}}