{"id":"W3110924399","doi":"10.1016/j.csbj.2020.12.016","title":"Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomes","year":2020,"lang":"en","type":"article","venue":"Computational and Structural Biotechnology Journal","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Transcriptome; CXCL9; Immunology; Biology; Chemokine; Cytokine; Computational biology; Disease; Gene expression profiling; Immune system; Bioinformatics; Gene; Gene expression; Medicine; CXCL10; Genetics; Internal medicine","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":[0.0001705085,0.0001955048,0.0003677389,0.000462572,0.0002538946,0.000456035,0.0001024833,0.0002190378,0.001098093],"category_scores_gemma":[0.0004649457,0.0000746821,0.0002407836,0.0005331877,0.0002162888,0.0001764464,0.0003613037,0.0002832921,0.0001667827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001955193,"about_ca_system_score_gemma":0.0001758037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004928635,"about_ca_topic_score_gemma":0.0008315135,"domain_scores_codex":[0.9998357,0.0000261206,0.00001545771,0.00004779841,0.00002636567,0.00004853136],"domain_scores_gemma":[0.9997892,0.00004293929,0.00007351789,0.00001338146,0.00002839865,0.00005258789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002922109,0.00009548457,0.8698084,0.0001455963,0.0001369322,0.001465311,0.0004692969,0.0004186065,0.1077286,0.0001344121,0.0005480547,0.01612722],"study_design_scores_gemma":[0.00001978252,0.0004758278,0.9905595,0.00001910817,0.00007237555,0.001464824,0.0007608166,0.001121272,0.004264251,0.0001913132,0.001037853,0.00001307792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981658,0.0002259189,0.0002439558,0.00002747794,0.000005199523,0.00001462602,0.0009776782,0.000006923563,0.0003323324],"genre_scores_gemma":[0.9973983,0.0001348758,0.000336419,0.00003964426,0.000008556803,0.00002508304,0.001836928,0.000004236001,0.0002160686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001098093,"threshold_uncertainty_score":0.003673494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05179743068426383,"score_gpt":0.3857225249822014,"score_spread":0.3339250942979376,"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."}}