{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003820843,0.0004141195,0.0004366777,0.0006616833,0.0001707972,0.0006383994,0.0005602778,0.0004531557,0.0003459614],"category_scores_gemma":[0.007028133,0.0001741731,0.0004533241,0.0004293838,0.0005358615,0.0004588372,0.0003025124,0.0002796006,0.00009771511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250315,"about_ca_system_score_gemma":0.0002159572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007732117,"about_ca_topic_score_gemma":0.0005492192,"domain_scores_codex":[0.9991949,0.0003881999,0.00005116667,0.0001960538,0.0001242674,0.00004540882],"domain_scores_gemma":[0.9976786,0.001174379,0.0004670554,0.0004009035,0.0002227889,0.00005636878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009807968,0.0006022166,0.6103236,0.0005344087,0.002251523,0.001434973,0.001353168,0.01662108,0.1225924,0.001684666,0.0005775135,0.2322164],"study_design_scores_gemma":[0.0002125313,0.004306488,0.8037831,0.00005796364,0.001738409,0.006796834,0.0004330734,0.1023604,0.07391926,0.002372014,0.003874535,0.0001454718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978415,0.001437432,0.01950509,0.00002917111,0.00001550126,0.0000297695,0.00006428795,0.00004680279,0.0004570332],"genre_scores_gemma":[0.9949194,0.0001990724,0.004701412,0.00001111984,0.00001254019,0.00001672381,0.0000669823,0.00001521582,0.00005756723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003820843,"threshold_uncertainty_score":0.02020675,"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."}}