{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003334269,0.0001037384,0.0005592684,0.0006019571,0.00002469109,0.000009897878,0.0001173296,0.000005222145,0.0000666705],"category_scores_gemma":[0.0005005918,0.00007764813,0.0001521032,0.0004616919,0.0002368216,0.00007395467,0.00005534357,0.0002052403,0.000002750059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001501009,"about_ca_system_score_gemma":0.00004687382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001377164,"about_ca_topic_score_gemma":1.902098e-7,"domain_scores_codex":[0.9977967,0.0006854131,0.0007079472,0.0001289869,0.0005451746,0.0001358438],"domain_scores_gemma":[0.9982145,0.00005708725,0.0005256467,0.0001803621,0.0007839281,0.0002384458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004995509,0.0003738012,0.1031125,0.0001637694,0.001539996,0.001077468,0.003646773,0.00003815221,0.8040267,0.000267437,0.003918695,0.08133511],"study_design_scores_gemma":[0.04239619,0.01440404,0.4564647,0.003420961,0.02984842,0.003468002,0.06874152,0.04133609,0.2326513,0.00046878,0.1058642,0.0009357416],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8879249,0.003775875,0.08840484,0.00524885,0.00009980718,0.0001389609,0.000001289231,0.000009309548,0.01439617],"genre_scores_gemma":[0.982905,0.0000830167,0.01641621,0.0004910572,0.00006075954,1.234159e-7,0.000004731083,0.00002181616,0.00001733791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5713754,"threshold_uncertainty_score":0.3166399,"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."}}