{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007202924,0.00009897201,0.0002665755,0.00006285476,0.00002981216,0.000005653346,0.00005709313,0.00009782425,0.0003089518],"category_scores_gemma":[0.0003395414,0.00009482435,0.00006289098,0.0001983567,0.0000452487,0.0000238102,0.00006921998,0.0003269794,0.00003778528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008942622,"about_ca_system_score_gemma":0.00004811008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008532809,"about_ca_topic_score_gemma":0.0003458584,"domain_scores_codex":[0.9989948,0.00008465098,0.0002470106,0.0002905064,0.0001043403,0.0002786843],"domain_scores_gemma":[0.9995385,0.0000642217,0.00003234492,0.0002541289,0.00003008251,0.00008071673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000161202,0.00008359752,0.9863899,0.00003252327,0.000006201716,0.009898703,0.00006889545,0.00005130023,0.002466562,0.00008669935,0.0001964929,0.0005579622],"study_design_scores_gemma":[0.002150709,0.0008992799,0.9732262,0.000008822997,0.00001578827,0.003716005,0.00002961629,0.0006632576,0.00006396616,0.0001527318,0.01897822,0.00009540284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840694,0.0002307804,0.000005359977,0.008905408,0.0004970257,0.00008994175,0.000001853158,0.00006327226,0.006136938],"genre_scores_gemma":[0.9812608,0.00003407017,0.00005056966,0.01825768,0.0000458173,0.000007622381,0.000005084794,0.00001878519,0.0003195061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01878173,"threshold_uncertainty_score":0.3866825,"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."}}