{"id":"W3151666001","doi":"10.1002/alz.12317","title":"AMYQ: An index to standardize quantitative amyloid load across PET tracers","year":2021,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; Biogen; BioClinica; Alzheimer's Disease Neuroimaging Initiative; National Institute of Biomedical Imaging and Bioengineering; Alzheimer's Drug Discovery Foundation; Alzheimer's Association; U.S. Department of Defense","keywords":"Intraclass correlation; Positron emission tomography; Magnetic resonance imaging; Amyloid (mycology); Biomarker; Nuclear medicine; Neuroimaging; Medicine; Pathology; Radiology; Biology; Psychometrics","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":[0.008843835,0.00102145,0.001057681,0.007013991,0.0004843135,0.001697907,0.001107821,0.0009778286,0.002316431],"category_scores_gemma":[0.02427943,0.0003222773,0.0009571133,0.001961902,0.0009537917,0.001970221,0.001552658,0.0005254526,0.0008901974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030192,"about_ca_system_score_gemma":0.0005027305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001449256,"about_ca_topic_score_gemma":0.001680023,"domain_scores_codex":[0.9971712,0.0008595361,0.0003408619,0.000476487,0.001055553,0.00009640087],"domain_scores_gemma":[0.9886369,0.004304609,0.003448771,0.0006899319,0.002584445,0.0003353611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001757153,0.0002087328,0.7551149,0.0006758836,0.001324618,0.0002541464,0.000786705,0.007913256,0.01479023,0.004059769,0.01335594,0.1997586],"study_design_scores_gemma":[0.0001769921,0.0009634985,0.9131461,0.0002553587,0.0003340891,0.002757996,0.0003438022,0.05304195,0.00679478,0.008665919,0.01328165,0.0002378639],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7953728,0.005542433,0.1746735,0.0008664215,0.0003024485,0.0008083453,0.006217795,0.002225452,0.01399071],"genre_scores_gemma":[0.9241299,0.0004827938,0.06954166,0.0002745147,0.0001555161,0.0006999064,0.002670393,0.0002520191,0.001793237],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008843835,"threshold_uncertainty_score":0.04677123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04205382867214841,"score_gpt":0.3811601801048554,"score_spread":0.339106351432707,"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."}}