{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008935019,0.00008097809,0.0001009278,0.00002011509,0.00008546587,0.00001076975,0.0002038999,0.00003681685,0.00002775079],"category_scores_gemma":[0.0001416604,0.00004919196,0.00006333784,0.00008010857,0.00004805148,0.000006163553,0.000178825,0.00005858361,0.000008876437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002541213,"about_ca_system_score_gemma":0.00003291197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005620485,"about_ca_topic_score_gemma":0.00007566831,"domain_scores_codex":[0.9992444,0.00004719802,0.0001401263,0.0001834554,0.0001891184,0.000195721],"domain_scores_gemma":[0.9994952,0.00001443519,0.00007494623,0.0002718371,0.00009130422,0.00005227101],"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":[0.00006304056,0.0001243334,0.02744347,0.00002641901,0.0001270064,0.000001419407,0.00001359755,0.000005751388,0.9720213,0.00004465846,0.0000154918,0.000113441],"study_design_scores_gemma":[0.0003354705,0.00005522868,0.005625815,0.0001670427,0.0000169758,0.000001402435,0.00003463072,0.0001124331,0.9935399,0.00002356252,0.00001957593,0.000067979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978266,0.0001148123,0.0004479399,0.0001833025,0.00003912131,0.0001569969,0.00003969585,0.000006598455,0.001184892],"genre_scores_gemma":[0.9980682,0.00008383226,0.0002884229,0.00002207608,0.0001877371,0.00001264925,0.000004228591,0.00001007022,0.001322852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02181766,"threshold_uncertainty_score":0.200599,"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."}}