{"id":"W4407387066","doi":"10.1093/ijnp/pyae059.131","title":"TSPO PET BRAIN INFLAMMATION IMAGING: A TRANSDIAGNOSTIC SYSTEMATIC REVIEW AND META-ANALYSIS OF 156 CASE-CONTROL STUDIES","year":2025,"lang":"en","type":"article","venue":"The International Journal of Neuropsychopharmacology","topic":"Hereditary Neurological Disorders","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; McGill University; University of British Columbia; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Meta-analysis; Pet imaging; Medicine; Neuroimaging; Inflammation; Neuroscience; Psychology; Positron emission tomography; Internal medicine","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":[0.00111253,0.0001812566,0.00130885,0.0005022696,0.00006417838,0.00002626842,0.0007512727,0.00001941849,0.0002154162],"category_scores_gemma":[0.005973646,0.0001062663,0.000605748,0.0006101826,0.0002638426,0.0001681815,0.00006385241,0.0003179206,0.000003113681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002357508,"about_ca_system_score_gemma":0.00003783985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002919271,"about_ca_topic_score_gemma":0.000005374531,"domain_scores_codex":[0.9963056,0.001723878,0.001183717,0.0002331958,0.0004067498,0.0001468152],"domain_scores_gemma":[0.9902825,0.008196796,0.0008582846,0.0001741438,0.0004385259,0.0000497665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001999318,0.0008366298,0.0002678847,0.02907957,0.4593708,0.03803661,0.001749289,0.01060414,0.4353501,0.00508574,0.01702491,0.0005950332],"study_design_scores_gemma":[0.003179025,0.0003868978,0.0009732994,0.0005245053,0.9722343,0.01248315,0.0002053565,0.004898937,0.002299969,0.002272505,0.0002684993,0.0002735666],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6026014,0.0653906,0.0007360551,0.3273548,0.001671755,0.001793565,0.0001468368,0.00003366682,0.0002712709],"genre_scores_gemma":[0.9478636,0.005248288,0.00001068629,0.04673167,0.00003138289,0.00003985253,3.357623e-7,0.000007784977,0.00006633402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5128635,"threshold_uncertainty_score":0.7151445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05489156261582617,"score_gpt":0.3895525625995957,"score_spread":0.3346609999837695,"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."}}