{"id":"W4206294915","doi":"10.3410/f.739106059.793581060","title":"Faculty Opinions recommendation of Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19.","year":2020,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Clinical Research Institute","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Omics; 2019-20 coronavirus outbreak; Computational biology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Pandemic; Medicine; Biology; Bioinformatics; Pathology; Disease","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":[0.003415844,0.001322997,0.00135076,0.002771787,0.0008556438,0.003025563,0.002035586,0.00194977,0.09354728],"category_scores_gemma":[0.02276082,0.0006520442,0.002071855,0.003508883,0.0003590613,0.001216957,0.002150101,0.001604526,0.05670195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264623,"about_ca_system_score_gemma":0.004966874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01495736,"about_ca_topic_score_gemma":0.04575229,"domain_scores_codex":[0.9978347,0.0004381195,0.0003251267,0.0006099379,0.0005345095,0.0002575152],"domain_scores_gemma":[0.9897363,0.002900665,0.001312802,0.002110351,0.002765797,0.001173994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000269403,0.00002397559,0.005240365,0.001351873,0.0002006376,0.0000323208,0.00002449365,0.0001290457,0.00043603,0.0004606174,0.986938,0.004893246],"study_design_scores_gemma":[0.000929148,0.00005741082,0.03073592,0.001145553,0.0004248904,0.000150928,0.00008808808,0.0004601391,0.001012425,0.001871614,0.963051,0.00007295825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000220011,0.00008345858,0.0001258312,0.0002123357,0.00004621966,0.00002579274,0.9982334,0.0001646334,0.0008883442],"genre_scores_gemma":[0.001399589,0.0001453838,0.000844895,0.0003810104,0.00003645137,0.0001784575,0.9954666,0.00009045241,0.001457056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09354728,"threshold_uncertainty_score":0.3129469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1359682392706406,"score_gpt":0.4975851521118225,"score_spread":0.361616912841182,"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."}}