{"id":"W2995275768","doi":"10.1101/870477","title":"The Glyco-enzyme adaptor GOLPH3 Links Intra-Golgi Transport Dynamics to Glycosylation Patterns and Cell Proliferation","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Associazione Italiana per la Ricerca sul Cancro; Fondazione per la Ricerca sulla Fibrosi Cistica; Ministero dell’Istruzione, dell’Università e della Ricerca; École Polytechnique Fédérale de Lausanne; Fondazione Italiana per la Ricerca sul Cancro; Stiftelsen Kristian Gerhard Jebsen; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Golgi apparatus; Cell biology; Glycosylation; Glycosphingolipid; Biology; Signal transducing adaptor protein; Signal transduction; Biochemistry; Endoplasmic reticulum","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001222276,0.0002254604,0.0001254492,0.0002851686,0.0001386837,0.0003943291,0.0001088733,0.0002728093,0.001393192],"category_scores_gemma":[0.0001347252,0.00008925788,0.00009622693,0.0001804201,0.0002404083,0.0002135593,0.0002547374,0.0003971171,0.0006672544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674147,"about_ca_system_score_gemma":0.0001570319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003652371,"about_ca_topic_score_gemma":0.0002877605,"domain_scores_codex":[0.9999422,0.000007345096,0.000002387951,0.0000116661,0.00001808648,0.00001835277],"domain_scores_gemma":[0.9999474,0.000009598948,0.00001322866,0.00000954986,0.000008015809,0.00001223145],"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":[0.0001766237,0.00001708955,0.000530442,0.0000221645,0.000004128105,0.0001347092,0.00001125507,0.0002956479,0.9940969,0.001242336,0.0003625963,0.003106155],"study_design_scores_gemma":[0.00002402774,0.00005054289,0.01263516,0.000004832129,0.000006543297,0.0003112543,0.0000281889,0.007446923,0.9738321,0.001600981,0.004052493,0.000007014184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788805,0.002002331,0.01159828,0.0006328133,0.00008956636,0.00001424925,0.0007251103,0.0003670575,0.00569011],"genre_scores_gemma":[0.9901934,0.000759045,0.002419536,0.00005947647,0.00003131343,0.0000116196,0.0006051619,0.00004995928,0.005870541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001393192,"threshold_uncertainty_score":0.004660726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006010179943867961,"score_gpt":0.1902238337070755,"score_spread":0.1842136537632075,"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."}}