{"id":"W2325569191","doi":"10.1055/s-2006-945817","title":"MAGNETIC RESONANCE IMAGING CRITERIA FOR THE DIAGNOSIS OF CHILDHOOD MULTIPLE SCLEROSIS","year":2006,"lang":"en","type":"article","venue":"Neuropediatrics","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Multiple sclerosis; Magnetic resonance imaging; Radiology; Pediatrics; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001100575,0.000745912,0.0006948741,0.002378701,0.0005504718,0.0003088674,0.00064917,0.0006349146,0.008244391],"category_scores_gemma":[0.003357566,0.0001242517,0.0004281472,0.001339011,0.0004896174,0.0003878294,0.0006476729,0.0008448187,0.001684227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007256907,"about_ca_system_score_gemma":0.002643108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006545364,"about_ca_topic_score_gemma":0.01049065,"domain_scores_codex":[0.9987887,0.0002152141,0.0003273618,0.000106853,0.0003733143,0.0001887204],"domain_scores_gemma":[0.9976557,0.0003205408,0.0009416809,0.00006193509,0.0007007057,0.0003193271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008094168,0.0005096187,0.8003132,0.001490832,0.0001435959,0.03790333,0.002664894,0.001794179,0.02418657,0.008305519,0.04595849,0.07592038],"study_design_scores_gemma":[0.0001495077,0.0007586722,0.7163695,0.00139009,0.0001589526,0.1477124,0.001113597,0.001130946,0.008571922,0.001774614,0.1207815,0.00008834092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8129942,0.01669235,0.02372598,0.008287629,0.0006532793,0.005022928,0.02237446,0.0005552575,0.1096939],"genre_scores_gemma":[0.9275011,0.005939692,0.04332754,0.001364405,0.0002185907,0.001939454,0.01086968,0.0001038723,0.008735775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008244391,"threshold_uncertainty_score":0.02758026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04313343317342576,"score_gpt":0.2468406035970732,"score_spread":0.2037071704236474,"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."}}