{"id":"W2972906727","doi":"10.1101/767202","title":"Spatial control of nucleoporin assembly by Fragile X-related proteins","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Institut Français; Institut National Du Cancer; Ministère de l'Enseignement Supérieur et de la Recherche; Fondation ARC pour la Recherche sur le Cancer; Agence Nationale de la Recherche; Université de Strasbourg; Universität Basel; Centre National de la Recherche Scientifique; Sanofi","keywords":"Nucleoporin; Nuclear pore; Cell biology; Cytoplasm; Dynein; Biology; Nuclear transport; Nuclear protein; Microtubule; Downregulation and upregulation; Dynactin; Chemistry; Cell nucleus; Genetics; Transcription factor; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007791886,0.0001457764,0.00008433868,0.0001469861,0.0001733177,0.0002691661,0.0001381767,0.0001459465,0.0008564423],"category_scores_gemma":[0.0001075846,0.0001020277,0.000103145,0.00006406452,0.0002090945,0.0001847106,0.0002730979,0.0002646972,0.0002474677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000459367,"about_ca_system_score_gemma":0.0001483403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007908097,"about_ca_topic_score_gemma":0.001019973,"domain_scores_codex":[0.9999269,0.00001003298,0.000006422295,0.00002264718,0.00001625189,0.00001779008],"domain_scores_gemma":[0.9999061,0.00001334853,0.00004033836,0.000009614886,0.000008805816,0.00002183898],"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":[0.00005408782,0.000004628241,0.0001974192,0.00001277092,0.000001703697,0.00004202228,0.00001337545,0.00007284825,0.9984449,0.0003624278,0.00004357832,0.0007504406],"study_design_scores_gemma":[0.00001835617,0.0000833907,0.01482115,0.00001313198,0.00001090612,0.000405013,0.00008724022,0.003330318,0.9754514,0.0003110766,0.00545823,0.000009770521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995366,0.001320024,0.001792125,0.00006868184,0.00001151938,0.000005453496,0.0001330404,0.00006806331,0.001235053],"genre_scores_gemma":[0.9983187,0.000274855,0.0005366715,0.00001310106,0.000002191801,0.000006122999,0.00009855685,0.00001188529,0.0007379632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008564423,"threshold_uncertainty_score":0.003332973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006195718119632421,"score_gpt":0.2176258768819223,"score_spread":0.2114301587622898,"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."}}