{"id":"W4404794254","doi":"10.1038/s41419-024-07247-8","title":"Blood matters: the hematological signatures of Coronavirus infection","year":2024,"lang":"en","type":"article","venue":"Cell Death and Disease","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"Fondo para la Investigación Científica y Tecnológica; Agencia Nacional de Promoción Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Institut Pasteur de Montevideo; Universidad de la República Uruguay; Universidad Nacional de Quilmes; Ministerio de Ciencia, Tecnología e Innovación Productiva; University of Ottawa","keywords":"Heme; Coronavirus; Biology; Virus; Hemin; Virology; Cell biology; Computational biology; Disease; Coronavirus disease 2019 (COVID-19); Medicine; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005414594,0.0002603031,0.0003186952,0.000798157,0.0003634776,0.001024485,0.0002424341,0.0005032927,0.004844669],"category_scores_gemma":[0.001055895,0.0001042951,0.00009588455,0.0004851597,0.0003259513,0.0004423713,0.0004829949,0.0007446773,0.000706487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004135137,"about_ca_system_score_gemma":0.0004009584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004910671,"about_ca_topic_score_gemma":0.000418271,"domain_scores_codex":[0.999616,0.0001318541,0.00003119405,0.00006498064,0.0001126005,0.00004326052],"domain_scores_gemma":[0.9995806,0.00007338615,0.0001167183,0.00005574172,0.00008190471,0.0000916553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005748416,0.0004437614,0.1861073,0.001137905,0.0002288789,0.006381215,0.0007118966,0.0004869458,0.3496371,0.01023367,0.02446947,0.4144135],"study_design_scores_gemma":[0.0001662432,0.002128631,0.7419953,0.0004152659,0.0002387502,0.02913543,0.0007666398,0.00333175,0.08015559,0.007157931,0.1344487,0.00005983944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8367862,0.06166265,0.01208564,0.01193075,0.001241803,0.0003492697,0.003056389,0.0008083236,0.07207892],"genre_scores_gemma":[0.9840088,0.004011062,0.002317427,0.001362014,0.0006984553,0.00007491914,0.0006829165,0.00005096661,0.00679343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004844669,"threshold_uncertainty_score":0.01620704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04666086042735212,"score_gpt":0.3916239142485577,"score_spread":0.3449630538212056,"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."}}