{"id":"W4294335516","doi":"10.1101/2022.08.31.22279265","title":"Deep immune profiling uncovers novel associations with clinical phenotypes of Multisystem Inflammatory Syndrome in Children (MIS-C)","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Kawasaki Disease and Coronary Complications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; Clínica Alemana de Santiago; Hadassah Medical Organization; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Fondazione IRCCS Policlinico San Matteo; Università degli Studi di Napoli Federico II","keywords":"Phenotype; Profiling (computer programming); Immune system; Clinical phenotype; Immunology; Medicine; Biology; Computational biology; Bioinformatics; Genetics; Computer science; Gene","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":[0.0002979244,0.0004373698,0.0003615909,0.0007556493,0.0002626216,0.0006052932,0.0001878936,0.0003985446,0.001190616],"category_scores_gemma":[0.0007971814,0.0001631495,0.0003220589,0.0006135248,0.0002170811,0.0002107486,0.0005471532,0.0004820334,0.0002315873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332526,"about_ca_system_score_gemma":0.0001719976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009659611,"about_ca_topic_score_gemma":0.001137054,"domain_scores_codex":[0.9997008,0.00005434562,0.00002650588,0.00008607272,0.00004268738,0.00008966002],"domain_scores_gemma":[0.9995027,0.00008597584,0.0002033006,0.00003577573,0.00006119515,0.0001110361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003413561,0.00003951072,0.9713916,0.0000378967,0.00006140889,0.0003771984,0.0001057013,0.0001686073,0.02208479,0.00004831167,0.000242781,0.005100818],"study_design_scores_gemma":[0.000008311421,0.0001725144,0.9944516,0.00001247454,0.00004003275,0.001576376,0.000265331,0.0005414432,0.002164768,0.0000632966,0.0006975413,0.000006279763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988582,0.0002017194,0.0002363279,0.00002855539,0.000004667517,0.000008707198,0.0004182314,0.000007680815,0.0002359169],"genre_scores_gemma":[0.9988492,0.00009189059,0.0003886715,0.00003995219,0.000007981792,0.000008737923,0.0004916275,0.000004119897,0.0001178502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001190616,"threshold_uncertainty_score":0.003982961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600589818840971,"score_gpt":0.3014424272228646,"score_spread":0.2754365290344549,"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."}}