{"id":"W1970888070","doi":"10.1007/s00259-015-2988-7","title":"Quantification of 18F-florbetapir PET: comparison of two analysis methods","year":2015,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health; U.S. Department of Defense","keywords":"Standardized uptake value; Cerebellar cortex; Categorization; Pathology; Cortex (anatomy); Positron emission tomography; Nuclear medicine; Cerebellum; Medicine; Psychology; Neuroscience; Computer science; Artificial intelligence","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":[0.01132987,0.001846482,0.001994895,0.003892933,0.0008569575,0.003479485,0.001868396,0.00288376,0.00202652],"category_scores_gemma":[0.01505761,0.001719631,0.001113524,0.001641236,0.001202832,0.002779933,0.001489738,0.001726107,0.001137037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201862,"about_ca_system_score_gemma":0.001497177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002787065,"about_ca_topic_score_gemma":0.004079191,"domain_scores_codex":[0.9933468,0.001921915,0.0003781851,0.001622167,0.002361047,0.0003697838],"domain_scores_gemma":[0.9881883,0.007468835,0.0009255879,0.0008770008,0.002259638,0.0002806337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02040676,0.0006859133,0.03848506,0.004245107,0.003323344,0.0003185662,0.001804087,0.007038694,0.4450262,0.005400502,0.003134912,0.4701308],"study_design_scores_gemma":[0.001439644,0.00391679,0.1649324,0.0006730667,0.005804265,0.006624757,0.0009568378,0.2218431,0.5631222,0.009292162,0.0200897,0.001304966],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2760139,0.02560239,0.6864498,0.0006531131,0.0005568847,0.0007918642,0.00140691,0.003857228,0.004667791],"genre_scores_gemma":[0.492875,0.009422278,0.4869239,0.0004633879,0.0001912392,0.001416073,0.001089555,0.002683617,0.004934922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01132987,"threshold_uncertainty_score":0.05991882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0751271904039146,"score_gpt":0.4374500313139266,"score_spread":0.362322840910012,"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."}}