{"id":"W2120207526","doi":"10.1007/174_2011_354","title":"Central Nervous System Vasculitis in Children","year":2011,"lang":"en","type":"book-chapter","venue":"Medical radiology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Vasculitis; Brain biopsy; Neuroimaging; Cerebral vasculitis; Angiography; Radiology; Etiology; Digital subtraction angiography; Magnetic resonance angiography; Encephalopathy; Cerebral angiography; Magnetic resonance imaging; Pathology; Disease; 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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002508687,0.0003595244,0.001145672,0.000266234,0.00005197393,0.000004235033,0.0002348969,0.002177422,0.00940785],"category_scores_gemma":[0.0001192392,0.0002835474,0.000437489,0.00004087893,0.0004419962,0.00001805652,0.00006981818,0.001761135,0.0005803165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002718692,"about_ca_system_score_gemma":0.0004438405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00021629,"about_ca_topic_score_gemma":0.00003778657,"domain_scores_codex":[0.9976383,0.00007205108,0.0006783083,0.000555486,0.0004410761,0.0006147216],"domain_scores_gemma":[0.9985905,0.00006611983,0.0001269581,0.0004765255,0.00004523849,0.0006946965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001153656,0.0001891935,0.01152325,0.0004111678,0.003171983,0.01356655,0.0003777771,0.0000027468,0.000002887637,0.849061,0.03521287,0.08636525],"study_design_scores_gemma":[0.01621174,0.001847719,0.3817869,0.008024482,0.002841557,0.1529977,0.00005612835,0.0001713297,0.000005677292,0.01566257,0.4184771,0.001917113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005794964,0.01028252,0.0002736166,0.001794976,0.00171199,0.001054198,0.0001060715,0.0002768625,0.9787048],"genre_scores_gemma":[0.5748601,0.01603856,0.0002146305,0.002805762,0.005872,0.0001420223,0.003365117,0.0003296517,0.3963721],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8333984,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008928913005536186,"score_gpt":0.2135875656050449,"score_spread":0.2046586525995087,"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."}}