{"id":"W2620847822","doi":"10.1016/j.ymeth.2017.05.027","title":"Assessing mRNA nuclear export in mammalian cells by microinjection","year":2017,"lang":"en","type":"article","venue":"Methods","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Microinjection; Microinjections; Messenger RNA; Nuclear export signal; Cell biology; Cell nucleus; Plasmid; Biology; Nucleus; Gene expression; Micromanipulator; Gene; Molecular biology; Genetics","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":[0.000969261,0.00008120207,0.00009994113,0.00003241932,0.0001986389,0.0001888972,0.0002297365,0.0001044472,0.00002662939],"category_scores_gemma":[0.0001543641,0.00007998158,0.00004750411,0.00002513262,0.00005364976,0.00001223008,0.0001185439,0.0001164192,0.000008463518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001692648,"about_ca_system_score_gemma":0.0000280122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002666301,"about_ca_topic_score_gemma":0.00002286384,"domain_scores_codex":[0.9991521,0.0001809931,0.0001217238,0.0002401437,0.00007164512,0.0002333611],"domain_scores_gemma":[0.9994128,0.000009388233,0.00007154999,0.0004149894,0.00002368233,0.00006760388],"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":[0.00001529884,0.00001774919,0.001731662,0.000006755745,0.000005275513,0.000005345235,0.00001190816,0.000001265322,0.9475991,0.000004659648,0.002175077,0.04842592],"study_design_scores_gemma":[0.0002302458,0.00005730055,0.0076584,0.000009063214,0.000002218404,0.000006345838,0.00006358327,0.0001464983,0.9308788,0.00002386651,0.06082513,0.00009853219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874739,0.0001738488,0.00814079,0.0001407037,0.0001481738,0.00007229087,0.000001838778,0.000005905939,0.003842569],"genre_scores_gemma":[0.8969136,0.00008399072,0.09798073,0.0001213244,0.000142154,0.000005855278,0.00001272952,0.00002663846,0.004712995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09056029,"threshold_uncertainty_score":0.3261554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790594873948128,"score_gpt":0.4101704328923327,"score_spread":0.3722644841528514,"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."}}