{"id":"W4367302814","doi":"10.1212/wnl.0000000000204098","title":"Age and Sex Distributions of MOG-IgG and AQP4-IgG Positive Sera from a Large Neuroimmunology Laboratory Database (P2-5.028)","year":2023,"lang":"en","type":"article","venue":"Neurology","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Neuroimmunology; Medicine; Database; Immunology; Computer 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":[0.0004130382,0.0001832044,0.000249378,0.001599834,0.0003321179,0.0004835505,0.0002449672,0.0002727165,0.005986059],"category_scores_gemma":[0.002017227,0.000139813,0.0001818197,0.001354545,0.0001107885,0.0004618752,0.0003623359,0.0002596034,0.001298023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002280185,"about_ca_system_score_gemma":0.0002439047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003847422,"about_ca_topic_score_gemma":0.004165257,"domain_scores_codex":[0.9995589,0.00007369566,0.00007957595,0.0001240012,0.00007557336,0.00008827941],"domain_scores_gemma":[0.9988544,0.0002151913,0.0004635352,0.00009445207,0.0002048953,0.0001675052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004142936,0.00007768335,0.992132,0.00002677825,0.00005867572,0.0002122264,0.0001056354,0.00004416945,0.0009548972,0.00007211301,0.002275683,0.003625881],"study_design_scores_gemma":[0.00003645732,0.0001283426,0.9959692,0.00001434905,0.00002598091,0.001055857,0.0002869749,0.000273664,0.0002957639,0.00005834476,0.001849502,0.000005508397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981028,0.0002836257,0.0002939152,0.00007796011,0.00001445176,0.00004244216,0.01511396,0.00002656087,0.003119129],"genre_scores_gemma":[0.9883537,0.0001173455,0.0002354717,0.0001660198,0.00001880468,0.0000567351,0.01018323,0.00001415372,0.0008544658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005986059,"threshold_uncertainty_score":0.02002537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086520982664708,"score_gpt":0.256074145442124,"score_spread":0.2452089356154769,"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."}}