{"id":"W4410014203","doi":"10.1016/j.bbih.2025.101007","title":"Comparison of cerebrospinal fluid biomarkers in patients with severe COVID-19 neurological outcomes and Alzheimer’s disease","year":2025,"lang":"en","type":"article","venue":"Brain Behavior & Immunity - Health","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Ministério da Saúde; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Instituto D'Or de Pesquisa e Ensino","keywords":"Coronavirus disease 2019 (COVID-19); Cerebrospinal fluid; Medicine; Disease; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Internal medicine; Intensive care medicine; Pathology; Infectious disease (medical specialty); Outbreak","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007242748,0.0003373048,0.0009605561,0.0004096835,0.0002492739,0.00002368797,0.0002591843,0.0001433507,0.00004699894],"category_scores_gemma":[0.001314425,0.0002731771,0.0001056844,0.0004774554,0.0004030905,0.0001178063,0.000218447,0.0005476226,0.00000235517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002558443,"about_ca_system_score_gemma":0.001605892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002658314,"about_ca_topic_score_gemma":0.0002531851,"domain_scores_codex":[0.9970947,0.0007533118,0.0007240238,0.0004570704,0.0004647103,0.0005062217],"domain_scores_gemma":[0.996991,0.00100815,0.000277909,0.0007708762,0.00009163307,0.0008604234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00394385,0.002368784,0.9869574,0.0007725122,0.00008454987,0.000040218,0.0003139203,0.000007010387,0.00002441173,0.0000763576,0.001206248,0.004204719],"study_design_scores_gemma":[0.00892297,0.002535525,0.9872599,0.0002293966,0.0002796972,0.000005534946,0.0001091869,0.00004573655,0.000008010887,0.00002067217,0.0003757004,0.000207709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738855,0.0007640328,0.00003582162,0.02219064,0.0001085674,0.00279604,0.00009730597,0.00009176608,0.00003033423],"genre_scores_gemma":[0.9839978,0.00001679788,0.0004233884,0.01517729,0.00000695247,0.0000873074,0.0002379699,0.00002589808,0.00002659026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01011231,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061454903932587,"score_gpt":0.3940329167442642,"score_spread":0.3534183677049383,"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."}}