{"id":"W3133700200","doi":"10.2967/jnumed.120.249524","title":"Simultaneous Mapping of Vasculature, Hypoxia, and Proliferation Using Dynamic Susceptibility Contrast MRI, <sup>18</sup>F-FMISO PET, and <sup>18</sup>F-FLT PET in Relation to Contrast Enhancement in Newly Diagnosed Glioblastoma","year":2021,"lang":"en","type":"article","venue":"Journal of Nuclear Medicine","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Cancer Research; Région Normandie; Institut National Du Cancer; Agence Nationale de la Recherche; Labex Iron","keywords":"Nuclear medicine; Cerebral blood volume; Glioblastoma; Pet imaging; Medicine; Glioma; Contrast (vision); Peripheral; Magnetic resonance imaging; Positron emission tomography; Radiology; Physics; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002068498,0.000173024,0.0001872901,0.0006203437,0.0001086562,0.0001646607,0.0001198473,0.0001891167,0.0002377291],"category_scores_gemma":[0.0006583055,0.0001978813,0.00009701756,0.0001815667,0.0001975516,0.0001796251,0.000161322,0.0001054659,0.00005673473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002163261,"about_ca_system_score_gemma":0.0001683303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001634907,"about_ca_topic_score_gemma":0.00239758,"domain_scores_codex":[0.999946,0.00001718296,0.000005213736,0.000009912991,0.00001053087,0.00001111171],"domain_scores_gemma":[0.9998417,0.00005797553,0.00004979649,0.00000868473,0.00001854804,0.0000232306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003196366,0.0001310716,0.6009359,0.0001806472,0.0001410383,0.002036228,0.0003850165,0.00294042,0.304965,0.00009195742,0.0001610686,0.08483517],"study_design_scores_gemma":[0.00009842109,0.0007683262,0.9366792,0.00001538016,0.0001591153,0.00858897,0.0003022449,0.009568588,0.04309339,0.0002403533,0.0004580938,0.00002783907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989557,0.000219723,0.0007141007,0.00000949057,6.604915e-7,0.000005047017,0.00001349114,0.000005877338,0.00007575354],"genre_scores_gemma":[0.9983317,0.0001391344,0.001405903,0.000005936503,0.00000270645,0.000009650776,0.0000509321,0.000001910563,0.00005211392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001634907,"threshold_uncertainty_score":0.003250778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380806592717197,"score_gpt":0.269090269605731,"score_spread":0.255282203678559,"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."}}