{"id":"W4319317130","doi":"10.3390/v15020433","title":"The Landscape of Expressed Chimeric Transcripts in the Blood of Severe COVID-19 Infected Patients","year":2023,"lang":"en","type":"article","venue":"Viruses","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"National Institutes of Health","keywords":"Biology; Transcriptome; Gene; Disease; Immune system; RNA splicing; Virus; Alternative splicing; Coronavirus disease 2019 (COVID-19); Virology; Immunology; Pandemic; Gene expression; Genetics; Medicine; Infectious disease (medical specialty); Messenger RNA; RNA","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":[0.0002363248,0.0001992846,0.0004348234,0.0004458364,0.0002777051,0.0006370828,0.0001360845,0.0003043419,0.00105667],"category_scores_gemma":[0.0006573962,0.0001194039,0.0003177429,0.0007398605,0.0001579076,0.0001888232,0.0003560182,0.0004037618,0.0003248017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221769,"about_ca_system_score_gemma":0.000177171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006760664,"about_ca_topic_score_gemma":0.00100621,"domain_scores_codex":[0.9997061,0.00003949013,0.00002488787,0.0001140077,0.00005016732,0.00006534807],"domain_scores_gemma":[0.9997433,0.0000689554,0.00007468367,0.00002297491,0.00004889996,0.00004113884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004444569,0.0001060816,0.4627593,0.0005176707,0.0004429986,0.002831997,0.0009562936,0.001455592,0.4756668,0.0005981583,0.00604632,0.04417428],"study_design_scores_gemma":[0.00006684911,0.0004102584,0.935938,0.0001097667,0.000298442,0.00558089,0.001246266,0.004844416,0.03353169,0.001019283,0.0168987,0.00005551301],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98735,0.00150736,0.0009910483,0.0001286546,0.00002004683,0.00001169288,0.009227153,0.00004639396,0.0007176513],"genre_scores_gemma":[0.967916,0.001029126,0.002471656,0.0003358441,0.0000397791,0.00004903951,0.02742302,0.00004634881,0.0006893441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00105667,"threshold_uncertainty_score":0.003534913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477036562726415,"score_gpt":0.2817160571519485,"score_spread":0.2569456915246844,"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."}}