{"id":"W1941602964","doi":"10.1111/j.1468-1331.2011.03570.x","title":"Glucose metabolism in sporadic Creutzfeldt–Jakob disease: a statistical parametric mapping analysis of <sup>18</sup>F‐FDG PET","year":2011,"lang":"en","type":"article","venue":"European Journal of Neurology","topic":"Prion Diseases and Protein Misfolding","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute on Aging","keywords":"Statistical parametric mapping; Positron emission tomography; Basal ganglia; Nuclear medicine; Medicine; Emission computed tomography; Single-photon emission computed tomography; Thalamus; Neuroimaging; Perfusion; Pathology; Fluorodeoxyglucose; Carbohydrate metabolism; Internal medicine; Radiology; Magnetic resonance imaging; Central nervous system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009031192,0.0001978461,0.0005051818,0.0008193892,0.00003630677,0.00001432465,0.0004763459,0.00004228262,0.0003474082],"category_scores_gemma":[0.0006102847,0.0001826064,0.0003341742,0.0007593347,0.0001383442,0.00001128343,0.0001654924,0.0002934216,0.000007223222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007138146,"about_ca_system_score_gemma":0.00009182213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001238865,"about_ca_topic_score_gemma":0.000002079773,"domain_scores_codex":[0.9972438,0.001082794,0.0008153756,0.0003270429,0.0002118193,0.0003191477],"domain_scores_gemma":[0.9986076,0.00006966676,0.0005118056,0.0003715805,0.0001281562,0.0003111654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0239041,0.004519238,0.6145438,0.000446437,0.009683572,0.04706502,0.00211896,0.04446468,0.1035985,0.002662662,0.005368383,0.1416246],"study_design_scores_gemma":[0.001652267,0.001058992,0.9722037,0.0000232538,0.001047487,0.0002183807,0.00005576665,0.002356223,0.000894202,0.0001885177,0.01999337,0.0003078813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890273,0.006774689,0.003407757,0.00009479668,0.00009363408,0.00007862091,0.00006093338,0.000004811001,0.0004574733],"genre_scores_gemma":[0.9961802,0.00170483,0.001433887,0.0004605885,0.0001444361,0.000001121814,0.00002769635,0.00003111037,0.00001609345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3576598,"threshold_uncertainty_score":0.7446471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727583369915831,"score_gpt":0.2488773652525485,"score_spread":0.2216015315533902,"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."}}