{"id":"W2467296285","doi":"10.4137/bic.s31801","title":"Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images","year":2016,"lang":"en","type":"review","venue":"Biomarkers in Cancer","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Hotchkiss Brain Institute; Foothills Medical Centre; University of Calgary","funders":"","keywords":"Magnetic resonance imaging; Perfusion; Medicine; Perfusion scanning; Radiology; Vascular permeability; Cerebral blood flow; Blood flow; Blood volume; Radiation therapy; Parenchyma; Permeability (electromagnetism); Tomography; Brain tumor; Dynamic contrast; Hemodynamics; Nuclear medicine; Pathology; Internal medicine; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001107779,0.000887874,0.002587553,0.001128106,0.00008330412,0.00005789183,0.0002651397,0.0004105396,0.001033662],"category_scores_gemma":[0.0003404394,0.0006682098,0.0003563515,0.001256351,0.001011015,0.0002011999,0.0002583885,0.0005403763,0.000006299595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628486,"about_ca_system_score_gemma":0.001043444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128678,"about_ca_topic_score_gemma":0.01056105,"domain_scores_codex":[0.9952734,0.0006368682,0.001121084,0.001779462,0.0004904997,0.0006986634],"domain_scores_gemma":[0.9961517,0.0022247,0.0004825495,0.0007187329,0.0001030631,0.0003192013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000375331,0.0001098455,0.1189151,0.009372126,0.000908567,0.0001190199,0.0001981972,6.048343e-8,0.00008344858,0.000006142103,0.01121026,0.8587019],"study_design_scores_gemma":[0.003588564,0.0002459412,0.06068491,0.1199163,0.001194469,0.00004481861,0.0002655497,0.00002841269,0.00004412086,0.0001401929,0.8126014,0.001245365],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02299372,0.9678497,0.000002485134,0.003823475,0.0008378721,0.002421174,0.001771072,0.00004992507,0.0002505661],"genre_scores_gemma":[0.001354716,0.9955214,0.0004302497,0.0002839405,0.000190638,0.001938102,0.00008005206,0.0001269429,0.00007394777],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8574566,"threshold_uncertainty_score":0.9998795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05629439179534947,"score_gpt":0.3982059363429531,"score_spread":0.3419115445476037,"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."}}