{"id":"W2082800836","doi":"10.3109/13506129.2013.787984","title":"Monitoring systemic amyloidosis using MRI measurements of the extracellular volume fraction","year":2013,"lang":"en","type":"article","venue":"Amyloid","topic":"Amyloidosis: Diagnosis, Treatment, Outcomes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"Medical Research Council; National Institutes of Health; Wolfson Foundation; National Centre for the Replacement, Refinement and Reduction of Animals in Research; University College London; British Heart Foundation; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; Research Councils UK; Commonwealth Fund","keywords":"Amyloidosis; Amyloid (mycology); Extracellular fluid; Extracellular; Spleen; Medicine; In vivo; Serum amyloid P component; Cardiac amyloidosis; Pathology; AL amyloidosis; Magnetic resonance imaging; Internal medicine; Endocrinology; Chemistry; Antibody; Biology; Immunology; Inflammation; Biochemistry; Radiology; Immunoglobulin light chain","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":[],"consensus_categories":[],"category_scores_codex":[0.0002004232,0.0002733266,0.0002741544,0.0000575341,0.0001789183,0.0000427527,0.0003706198,0.0002078084,0.00007978463],"category_scores_gemma":[0.00009272211,0.000217825,0.0002448714,0.0001722114,0.00008949682,0.00002300765,0.0001631412,0.000121907,0.00007618053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406995,"about_ca_system_score_gemma":0.00006612753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005942534,"about_ca_topic_score_gemma":0.000007807991,"domain_scores_codex":[0.9982671,0.0001482825,0.0004273917,0.0004191658,0.0003813902,0.0003566811],"domain_scores_gemma":[0.9985764,0.0000196996,0.0003534676,0.0007522448,0.0002065023,0.00009167091],"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":[0.000006572747,0.00006214185,0.4164461,0.00002363442,0.0001139181,3.338377e-7,0.00002473218,0.0002067914,0.5820205,0.000001102886,0.0002855929,0.0008086024],"study_design_scores_gemma":[0.0004787286,0.00007347794,0.09695006,0.0001302208,0.0001268234,0.00001749563,0.0002148922,0.0001137455,0.90099,0.00001147083,0.0006605008,0.0002325437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939286,0.003727993,0.0007338566,0.0001372013,0.0006133488,0.0006076724,0.000007555178,0.00002404336,0.0002197655],"genre_scores_gemma":[0.9973128,0.0002729809,0.001147079,0.00005277008,0.0002637556,0.0001264944,0.000009384527,0.00005107893,0.0007636284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.319496,"threshold_uncertainty_score":0.8882647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272588437002199,"score_gpt":0.2622700139309383,"score_spread":0.2350111702307184,"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."}}