{"id":"W4315567008","doi":"10.1111/febs.16723","title":"The landscape of differential splicing and transcript alternations in severe <scp>COVID</scp>‐19 infection","year":2023,"lang":"en","type":"article","venue":"FEBS Journal","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"National Institutes of Health; Bar-Ilan University","keywords":"Biology; Alternative splicing; Transcriptome; RNA splicing; Viral replication; Gene; Gene isoform; Immune system; Virus; Virology; Viral pathogenesis; RNA; Genetics; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003181573,0.0000594513,0.00007018753,0.0000903777,0.0001946285,0.00005830358,0.00008823869,0.00004978832,0.000004751006],"category_scores_gemma":[0.0002203774,0.00004299162,0.00004760257,0.000127496,0.0000322643,0.000006271573,0.00003801014,0.0001639296,0.000001777957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001008824,"about_ca_system_score_gemma":0.00005636462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006669707,"about_ca_topic_score_gemma":0.0002974325,"domain_scores_codex":[0.9993548,0.00006701409,0.0001535676,0.00009611929,0.0001326722,0.0001958575],"domain_scores_gemma":[0.9996874,0.00004883995,0.00005308959,0.00008182935,0.00004098643,0.0000878891],"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":[0.00002827775,0.0000192317,0.1589052,0.00001961356,0.00004330443,0.00001026657,0.0002365196,0.0004526838,0.8328663,0.00005503073,0.002928365,0.004435279],"study_design_scores_gemma":[0.004075634,0.0008545449,0.9114293,0.0001129116,0.0000360689,0.0006688616,0.001398662,0.009837163,0.04569088,0.001061526,0.02466569,0.0001687262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982483,0.0002672542,0.0009073176,0.0001245166,0.0001202914,0.00006104468,0.000004777546,0.000004676657,0.0002618501],"genre_scores_gemma":[0.9963591,0.00223882,0.00001542373,0.00002460853,0.0001774573,0.000003837404,0.00001045061,0.000007414646,0.001162929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7871754,"threshold_uncertainty_score":0.1753147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530304131516065,"score_gpt":0.2826762193964288,"score_spread":0.2673731780812682,"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."}}