{"id":"W4389464791","doi":"10.1212/wnl.92.15_supplement.p4.6-042","title":"Prospective characterization of children positive for anti-MOG antibodies meeting Multiple Sclerosis diagnostic criteria (P4.6-042)","year":2019,"lang":"en","type":"article","venue":"Neurology","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Hospital for Sick Children; Montreal Neurological Institute and Hospital","funders":"","keywords":"Multiple sclerosis; Medicine; Characterization (materials science); Antibody; Psychiatry; Immunology; Nanotechnology; Materials science","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":[0.0004938824,0.0004087628,0.0003080301,0.0007153146,0.0006118183,0.0005440014,0.0004406365,0.0007053242,0.001336857],"category_scores_gemma":[0.001519115,0.0003334282,0.0003128618,0.0006599246,0.0003410153,0.0006276401,0.0004330073,0.0007823738,0.0005480165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003821966,"about_ca_system_score_gemma":0.0005236955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005047677,"about_ca_topic_score_gemma":0.004529709,"domain_scores_codex":[0.9995042,0.0001054861,0.00004086354,0.0001088353,0.0000841548,0.0001565037],"domain_scores_gemma":[0.9988035,0.0001807616,0.0004344266,0.0000740894,0.0001636114,0.0003435648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001990011,0.0001302204,0.9979074,0.000005834989,0.00001131104,0.0003141053,0.00006934453,0.00003352109,0.0005757104,0.00002027025,0.0001071929,0.0006261964],"study_design_scores_gemma":[0.00002048731,0.0006147073,0.9971565,0.000004586267,0.00001151497,0.001469692,0.000185732,0.0001079622,0.0001888953,0.00002100194,0.0002151015,0.000003905008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993216,0.00004510867,0.00004387206,0.00001736049,0.000002631754,0.00001067658,0.0002841526,0.000002381567,0.0002722189],"genre_scores_gemma":[0.9988729,0.00004192263,0.00009390013,0.00003162673,0.000006279546,0.00002745452,0.0007218259,0.000003237107,0.0002007475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005047677,"threshold_uncertainty_score":0.01003659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009889301625120996,"score_gpt":0.2393764832366369,"score_spread":0.2294871816115159,"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."}}