{"id":"W4391944787","doi":"10.1016/j.ebiom.2024.105023","title":"Unravelling long COVID: insights from proteomics and considerations for comprehensive understanding","year":2024,"lang":"en","type":"letter","venue":"EBioMedicine","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia; Prevention of Organ Failure; Providence Health Care","funders":"Canadian Institutes of Health Research","keywords":"Cohort; Scopus; Vaccination; Coronavirus disease 2019 (COVID-19); Cohort study; Medicine; MEDLINE; Longitudinal study; Gerontology; Family medicine; Psychology; Pathology; Biology; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001580833,0.0006527262,0.001289147,0.0008393239,0.0002852125,0.0001516753,0.0001187231,0.0009529405,0.00009337879],"category_scores_gemma":[0.0008615824,0.0005319981,0.0001930607,0.0002605123,0.0005936975,0.0000977744,0.0001138725,0.001706508,0.00003966398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007988228,"about_ca_system_score_gemma":0.0007323985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000166727,"about_ca_topic_score_gemma":0.00003711126,"domain_scores_codex":[0.9970942,0.00009261211,0.0006918107,0.001020454,0.0005996957,0.0005012702],"domain_scores_gemma":[0.9926598,0.005942612,0.0002551667,0.0005903468,0.0001964938,0.0003555464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00014926,0.00002662508,0.0001011114,0.006649817,0.0009359694,0.005214051,0.001389792,0.000003922636,0.003624473,0.0007552572,0.9811018,0.00004791949],"study_design_scores_gemma":[0.01116038,0.00173055,0.0002685237,0.01139283,0.004759249,0.0009788584,0.0006524866,0.003730227,0.001186111,0.1121964,0.8505366,0.001407808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003712799,0.006499295,0.06022057,0.9208086,0.00204427,0.005558199,0.0004183813,0.0004568654,0.0002810195],"genre_scores_gemma":[0.04115507,0.0002862097,0.01168344,0.927079,0.01374602,0.0003131106,0.004435099,0.0002752668,0.001026825],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1305652,"threshold_uncertainty_score":0.9997132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07978604969148483,"score_gpt":0.3284122094414898,"score_spread":0.248626159750005,"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."}}