{"id":"W2134028061","doi":"10.1128/mcb.00726-08","title":"Multiple and Specific mRNA Processing Targets for the Major Human hnRNP Proteins","year":2008,"lang":"en","type":"article","venue":"Molecular and Cellular Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Genome Canada","keywords":"RNA splicing; Biology; Alternative splicing; RNA-binding protein; Gene knockdown; Heterogeneous ribonucleoprotein particle; Genetics; Cell biology; Messenger RNA; Gene; SR protein; RNA; 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":[0.0002320133,0.0002464546,0.0002906753,0.0002216394,0.0002064457,0.0002405782,0.0001623319,0.0002788273,0.001405478],"category_scores_gemma":[0.0004084636,0.0001533517,0.0003202925,0.0001923346,0.0002065392,0.0001670671,0.0002282164,0.0002712591,0.0007488556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850563,"about_ca_system_score_gemma":0.0001458655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002541627,"about_ca_topic_score_gemma":0.0004098356,"domain_scores_codex":[0.9995609,0.00005277351,0.0000359611,0.0001876201,0.0001143357,0.00004837932],"domain_scores_gemma":[0.9996855,0.00008692742,0.00009008033,0.00004972228,0.00005364736,0.0000340835],"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":[0.0001100258,0.000009847642,0.001554953,0.00004768096,0.000008476926,0.0001941968,0.00003204049,0.00005268719,0.9934317,0.00009848605,0.00003586628,0.004423896],"study_design_scores_gemma":[0.0000172802,0.0003421442,0.05754644,0.00002288478,0.00006741103,0.005667688,0.0000935194,0.0006739352,0.9289568,0.0003901392,0.006210006,0.00001170978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868222,0.004099003,0.006628111,0.00009682807,0.00002524666,0.00003272527,0.0004992367,0.00004413804,0.001752387],"genre_scores_gemma":[0.9855844,0.001822284,0.008,0.0001035627,0.00002531066,0.00004561371,0.001095236,0.00003053337,0.003293071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001405478,"threshold_uncertainty_score":0.004701793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659428916412931,"score_gpt":0.2549787687246338,"score_spread":0.2383844795605045,"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."}}