{"id":"W4200283079","doi":"10.1212/wnl.0000000000013139","title":"Predicting Outcome in Guillain-Barré Syndrome","year":2021,"lang":"en","type":"article","venue":"Neurology","topic":"Peripheral Neuropathies and Disorders","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary; University Health Network","funders":"UCB Pharma; Fogarty International Center; Instituto de Salud Carlos III; Astellas Pharma; Prinses Beatrix Spierfonds; Generalitat de Catalunya; Sanofi; European Commission; Departament de Salut, Generalitat de Catalunya; Grifols; GBS/CIDP Foundation International; Seventh Framework Programme; Baxalta; Eli Lilly and Company; CSL Behring; Medical Research Council; Biogen; Celgene; Alnylam Pharmaceuticals; Alexion Pharmaceuticals; National Institutes of Health; Argenx","keywords":"Guillain-Barre syndrome; Medicine; Outcome (game theory); Pediatrics; Mathematics","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":[0.001668955,0.0007173626,0.0004138807,0.0006871003,0.0002125298,0.0006485339,0.0003917089,0.0005222607,0.0007226291],"category_scores_gemma":[0.005533795,0.0001516718,0.0005097876,0.0005108119,0.000335753,0.0004606496,0.0006929315,0.0007001428,0.0002124322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141433,"about_ca_system_score_gemma":0.000523935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005728535,"about_ca_topic_score_gemma":0.00481112,"domain_scores_codex":[0.9994565,0.0002215522,0.00004665262,0.0001093102,0.00007550417,0.00009039364],"domain_scores_gemma":[0.9975134,0.0009374957,0.0008417076,0.00009542095,0.000269192,0.0003427711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002075746,0.00002115397,0.9964079,0.000006778138,0.00003532628,0.00005018128,0.00003261978,0.001109194,0.00006458034,0.00001106257,0.000125415,0.001928091],"study_design_scores_gemma":[0.00003614865,0.0003231824,0.9839295,0.0000338973,0.00006678164,0.0002643709,0.0002117902,0.01441123,0.0002394473,0.0002246524,0.0002464713,0.00001248009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990898,0.0001499694,0.000263954,0.00008471792,0.000007304851,0.000004696344,0.0001931733,0.000005033547,0.0002014198],"genre_scores_gemma":[0.9993744,0.00005615409,0.0001367996,0.000009953769,0.000006250325,0.000004578085,0.0003608515,0.000001535559,0.00004960319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005728535,"threshold_uncertainty_score":0.01139039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805722863006375,"score_gpt":0.268693283180558,"score_spread":0.2506360545504942,"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."}}