{"id":"W2088507001","doi":"10.1021/bi802100u","title":"STD-NMR Used To Elucidate the Fine Binding Specificity of Pathogenic Anti-Ganglioside Antibodies Directly in Patient Serum","year":2008,"lang":"en","type":"article","venue":"Biochemistry","topic":"Peripheral Neuropathies and Disorders","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institute for Biological Sciences","funders":"","keywords":"Ganglioside; Antibody; Chemistry; Sialic acid; Glycan; Autoantibody; Biochemistry; Disaccharide; Glycoprotein; Immunology; 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":[0.00008948626,0.0001668626,0.0002939923,0.00005349296,0.00007654549,0.000006779323,0.0001234328,0.00006960423,0.00006328346],"category_scores_gemma":[0.0001722396,0.0001227676,0.0001023286,0.0003404302,0.0001092491,0.00002500845,0.00009092683,0.0001507941,0.000008914169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000035751,"about_ca_system_score_gemma":0.00006422199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005710488,"about_ca_topic_score_gemma":0.00003607134,"domain_scores_codex":[0.998874,0.0000260084,0.0003079735,0.0002810062,0.0002431399,0.0002678787],"domain_scores_gemma":[0.9993481,0.0000355835,0.00008919596,0.0003796094,0.00005377798,0.00009372624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009705197,0.0001543585,0.08769358,0.00008144585,0.00001438173,0.0002245438,0.0005175461,0.00001396364,0.9091763,0.000001012639,0.001535409,0.0004904254],"study_design_scores_gemma":[0.0006143423,0.0001183418,0.08920483,0.0001288338,0.00001513525,0.00006881684,0.0004601811,0.00003020259,0.9085953,0.000002480558,0.0006176958,0.0001438974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977356,0.0005670111,0.000003290011,0.0005193811,0.00008563378,0.000205321,0.00006367502,0.00003344317,0.0007866652],"genre_scores_gemma":[0.9991623,0.0001303393,0.00009518608,0.0002072018,0.00006118626,0.00000756884,0.00001675989,0.00001893719,0.0003005333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001511252,"threshold_uncertainty_score":0.5006316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201096211426675,"score_gpt":0.245425128682098,"score_spread":0.2253155075394305,"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."}}