{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001385358,0.001053054,0.0008153466,0.001079509,0.0008521788,0.001428478,0.001052748,0.0008530108,0.002725517],"category_scores_gemma":[0.0006796544,0.000638826,0.000695359,0.0007457464,0.0008723963,0.0008609769,0.0008078665,0.002383433,0.001697415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008418759,"about_ca_system_score_gemma":0.0005112591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009023963,"about_ca_topic_score_gemma":0.002530525,"domain_scores_codex":[0.9990132,0.0001887592,0.0001414397,0.0002847818,0.0002716218,0.0001000853],"domain_scores_gemma":[0.99903,0.0005140258,0.000123375,0.0001799019,0.00008472562,0.00006803247],"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":[0.00004567988,0.00002084013,0.00009914668,0.00005232516,0.000006910727,0.00002434307,0.00003327573,0.0000764908,0.9976112,0.0004532771,0.00004789046,0.001528727],"study_design_scores_gemma":[0.00001021718,0.0000587259,0.0005558659,0.000006110882,0.00001362336,0.00007733949,0.00001716453,0.0006766821,0.9965217,0.0001223269,0.001934648,0.000005617316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.421542,0.006547937,0.5495419,0.0008929804,0.0004781047,0.001014584,0.004085308,0.003785326,0.01211186],"genre_scores_gemma":[0.5009928,0.006565199,0.462267,0.0004069208,0.000181079,0.001528904,0.005918751,0.001698751,0.02044067],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002725517,"threshold_uncertainty_score":0.009117723,"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."}}