{"id":"W2528605706","doi":"10.1371/journal.pone.0161914","title":"Global Profiling of the Cellular Alternative RNA Splicing Landscape during Virus-Host Interactions","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"Faculté de médecine et des sciences de la santé, Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Université de Sherbrooke","keywords":"Biology; Proteome; RNA splicing; Alternative splicing; RNA; Gene; Exon; Genetics; Virus; Gene expression; Computational biology","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":[0.0001242707,0.0001207362,0.0001860793,0.0002572923,0.0001493578,0.0003125038,0.0001008681,0.0001772018,0.0003881954],"category_scores_gemma":[0.000110549,0.00008204229,0.0001205905,0.0002581024,0.0001414986,0.0001815413,0.0001592739,0.0002512237,0.0001540452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182596,"about_ca_system_score_gemma":0.00006209507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002145569,"about_ca_topic_score_gemma":0.0003253121,"domain_scores_codex":[0.9999219,0.00001075958,0.00000369186,0.00002277277,0.00002157582,0.00001921987],"domain_scores_gemma":[0.9999174,0.00002015204,0.00002086905,0.000007485088,0.00001616358,0.00001793225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005888069,0.000003282044,0.0006851649,0.00001037659,0.000003153723,0.00001849055,0.00001567745,0.00003326385,0.9985245,0.00003061261,0.000006123034,0.0006105374],"study_design_scores_gemma":[0.000005986107,0.0003583468,0.09268609,0.000006187097,0.00003874271,0.0005367808,0.000180283,0.002953317,0.9010881,0.0003175719,0.001813687,0.0000148332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996128,0.0006603305,0.002261611,0.00001445845,0.000003829631,0.000008806182,0.0003252476,0.00002182086,0.0005760326],"genre_scores_gemma":[0.995004,0.000643028,0.00282476,0.00002780233,0.000006168178,0.00002241945,0.0006004659,0.00001610511,0.000855373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003881954,"threshold_uncertainty_score":0.001298666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110912999995582,"score_gpt":0.2547812906704687,"score_spread":0.2336721606705129,"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."}}