{"id":"W4319656692","doi":"10.1073/pnas.2212874120","title":"Self-regulation of the nuclear pore complex enables clogging-free crowded transport","year":2023,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Compute Canada","keywords":"Nuclear pore; Nuclear transport; Clogging; Macromolecular crowding; Biophysics; Transport protein; Nanotechnology; Channel (broadcasting); Cytoplasm; Chemistry; Computer science; Cell biology; Biology; Cell nucleus; Materials science; Macromolecule; Biochemistry; Computer network","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":[0.0004028932,0.00005796808,0.00007658051,0.00005175091,0.0001478976,0.000005541893,0.0005681987,0.0000807524,0.00001109431],"category_scores_gemma":[0.0001072227,0.00003500647,0.00007947777,0.0004302123,0.0003879588,0.00001549703,0.0001078528,0.00005736263,4.119815e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006083675,"about_ca_system_score_gemma":0.00001843451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003200297,"about_ca_topic_score_gemma":1.699725e-7,"domain_scores_codex":[0.9991148,0.000004398808,0.0001803942,0.0001440328,0.0004702183,0.00008620723],"domain_scores_gemma":[0.9995814,0.000009279343,0.0002337513,0.00001661401,0.0001464074,0.0000125369],"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":[0.00001669596,0.00001069581,0.004239686,0.00004411011,0.00001601685,1.095595e-9,0.00009589111,0.0001113257,0.9785275,0.01306344,0.003767122,0.0001074494],"study_design_scores_gemma":[0.0001912013,0.00005338187,0.5189064,0.0000245626,0.00001842173,0.000004680088,0.0001591258,0.0007473165,0.4533031,0.01951839,0.00701053,0.00006288796],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938056,0.0000192046,5.569049e-7,0.001812851,0.00002917097,0.0001056708,0.00001617138,0.00001013924,0.004200572],"genre_scores_gemma":[0.9990281,0.00001733963,0.0005850332,0.0001467647,0.00007507135,0.000001299858,0.000001383419,0.000004446438,0.0001405957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5252244,"threshold_uncertainty_score":0.142945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373539355560363,"score_gpt":0.2577429031007971,"score_spread":0.2340075095451934,"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."}}