{"id":"W4380886752","doi":"10.1016/j.xpro.2023.102359","title":"Differential affinity purification and mass spectrometry analysis of two nuclear pore complex isoforms in yeast S. cerevisiae","year":2023,"lang":"en","type":"article","venue":"STAR Protocols","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Montreal Clinical Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Yeast; Mass spectrometry; Chemistry; Gene isoform; Saccharomyces cerevisiae; Nuclear pore; Tandem affinity purification; Chromatography; Differential (mechanical device); Biochemistry; Cytoplasm; Affinity chromatography; Enzyme; Physics; Gene","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":[0.0002008237,0.00008506214,0.0001937582,0.0002551659,0.00004023881,0.00002683382,0.0001362462,0.00005478938,0.0001188266],"category_scores_gemma":[0.00004511749,0.00007466967,0.00007284533,0.0006532192,0.0000568553,0.000004625701,0.00008879055,0.00007842811,0.000005183397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001286485,"about_ca_system_score_gemma":0.00002363299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004969097,"about_ca_topic_score_gemma":0.00005753692,"domain_scores_codex":[0.999154,0.00005423309,0.0001976314,0.0002299541,0.0001519774,0.0002121853],"domain_scores_gemma":[0.9995673,0.000006582823,0.00006983517,0.0002550471,0.0000397881,0.00006148527],"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":[0.0001060592,0.0000408246,0.02503904,0.00005773889,0.0001108358,0.000002599235,0.00002934317,0.00001682985,0.9732943,0.0001852488,0.0001245362,0.0009926734],"study_design_scores_gemma":[0.001907543,0.0005669966,0.866556,0.00004782783,0.0000596732,0.000001629651,0.0002474395,0.009618443,0.1180324,0.0003424449,0.002352373,0.0002671779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915921,0.0000056438,0.0002517632,0.00005438923,0.000003855027,0.007786228,0.00005978883,0.00001046088,0.000235772],"genre_scores_gemma":[0.9966406,0.00001752739,0.0006007022,0.00001098268,0.00003342967,0.002274404,0.0002733161,0.00001174442,0.0001372477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8552619,"threshold_uncertainty_score":0.3044941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03326289251514761,"score_gpt":0.3432608477117464,"score_spread":0.3099979551965988,"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."}}