{"id":"W2468890608","doi":"10.1186/s12864-016-2854-4","title":"Extent of pre-translational regulation for the control of nucleocytoplasmic protein localization","year":2016,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Faculty of Medicine and Health, University of Sydney; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Biology; NLS; Nuclear localization sequence; Alternative splicing; Exon; Computational biology; RNA splicing; Subcellular localization; Genetics; Frameshift mutation; Translation (biology); Cell biology; Gene; Messenger RNA; RNA","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":[0.00008557714,0.00004720216,0.00005854754,0.00001238872,0.0000293544,0.000002327855,0.00005413175,0.00005963341,0.0000125214],"category_scores_gemma":[0.00002834444,0.00002923872,0.00005541778,0.0000186566,0.00004265281,0.000002367226,0.000007461276,0.000009111565,5.65107e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006258388,"about_ca_system_score_gemma":0.00004009584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002628713,"about_ca_topic_score_gemma":0.00001690208,"domain_scores_codex":[0.9996384,0.00001593357,0.00014767,0.00009327722,0.00005077188,0.00005396219],"domain_scores_gemma":[0.9996414,0.0000198439,0.0001078295,0.0001366287,0.00008443851,0.000009889211],"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":[0.000563804,0.000009719735,0.001240629,0.00002017679,0.00002201888,3.952717e-9,0.00002032464,0.002322038,0.9887691,0.00147714,0.00008134342,0.005473736],"study_design_scores_gemma":[0.001814465,0.0002835157,0.02638048,0.00002059343,0.00005134163,0.000001826764,0.00001926441,0.01052751,0.9403977,0.002484591,0.017922,0.00009664775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3921796,0.0000893571,0.6072702,0.00005566455,0.00004667075,0.0003042164,0.00003116269,0.000001737552,0.00002142173],"genre_scores_gemma":[0.9975826,0.00001464561,0.002083993,0.0000203492,0.0001033545,0.00001504956,0.00002418382,0.000009419377,0.0001463909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.605403,"threshold_uncertainty_score":0.1192321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007764560841983847,"score_gpt":0.2123152378670709,"score_spread":0.2045506770250871,"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."}}