{"id":"W3091882765","doi":"10.21037/qims-20-110","title":"Parametric estimation of reference signal intensity in the quantification of amyloid-beta deposition: an 18F-AV-45 study","year":2020,"lang":"en","type":"article","venue":"Quantitative Imaging in Medicine and Surgery","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Servier; Eisai; Genentech; IXICO; National Natural Science Foundation of China; Northern California Institute for Research and Education; BioClinica; F. Hoffmann-La Roche; University of Southern California; Biogen; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Parametric statistics; Intensity (physics); BETA (programming language); Computer science; Estimation; Amyloid (mycology); Deposition (geology); SIGNAL (programming language); Pathology; Statistics; Medicine; Mathematics; Biology; Physics; Optics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002325683,0.0001156838,0.0004835741,0.0005382149,0.00003644889,0.00001093876,0.00007790981,0.0000202597,0.00003208706],"category_scores_gemma":[0.000946847,0.00008012898,0.00003347106,0.001205713,0.0002977361,0.0001974789,0.00002180473,0.0002361106,0.000001665387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001674378,"about_ca_system_score_gemma":0.00007583954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006914096,"about_ca_topic_score_gemma":0.00002981166,"domain_scores_codex":[0.9980285,0.0004345255,0.0005947692,0.0002658373,0.000518628,0.000157779],"domain_scores_gemma":[0.9980968,0.001162026,0.0001829547,0.0001458831,0.0003417752,0.00007058751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005813446,0.0006298445,0.9757665,0.0002043698,0.00002406022,0.00008510206,0.006945128,0.00002161971,0.004864088,0.0002620958,0.0001507128,0.01046507],"study_design_scores_gemma":[0.0009464137,0.001147642,0.9393425,0.0003593661,0.00007082002,0.00001389481,0.0355077,0.02066057,0.001758209,0.0001157269,0.0000061451,0.00007099521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905321,0.0004552817,0.004362788,0.003864086,0.00002154341,0.0005350563,0.000002470576,0.000008961574,0.0002176855],"genre_scores_gemma":[0.9988458,0.00009474531,0.000428171,0.0005265501,0.00001722576,0.0000227234,0.00005584279,0.000006785526,0.000002115602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03642404,"threshold_uncertainty_score":0.3267565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1429781446532461,"score_gpt":0.4013170198650989,"score_spread":0.2583388752118527,"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."}}