{"id":"W2889411851","doi":"10.1242/jcs.216226","title":"Rab4A organizes endosomal domains for sorting cargo to lysosome-related organelles","year":2018,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; The Wellcome Trust DBT India Alliance; Medical Research Council Canada; Labex; Fondation ARC pour la Recherche sur le Cancer; Indo-French Centre for the Promotion of Advanced Research; Agence Nationale de la Recherche; Wellcome Trust","keywords":"Biology; Lysosome; Endosome; Sorting; Cell biology; Organelle; Biochemistry; Computer science","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":[0.0001012739,0.0002742734,0.000146395,0.0006137339,0.000499723,0.0005421501,0.0002476356,0.0003721962,0.003548762],"category_scores_gemma":[0.0001036165,0.0001824743,0.000369065,0.0002186509,0.0001919421,0.0002926758,0.0004787415,0.0003464904,0.002487961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008704657,"about_ca_system_score_gemma":0.0003418444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417606,"about_ca_topic_score_gemma":0.001481933,"domain_scores_codex":[0.9998978,0.00001280242,0.000006157838,0.00002960928,0.00002152994,0.0000319824],"domain_scores_gemma":[0.9999458,0.000004403547,0.00001099939,0.000007577436,0.00001532593,0.00001596957],"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":[0.00008363283,0.00001454516,0.0006828367,0.0000263973,0.000008731819,0.0001704352,0.00001836616,0.0001185761,0.9947514,0.0008094319,0.0003511653,0.002964575],"study_design_scores_gemma":[0.00002756433,0.00006409914,0.01865609,0.00001969664,0.00004099745,0.0009010677,0.0001603649,0.006174843,0.9463345,0.0006935025,0.02691364,0.00001369847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734099,0.002900426,0.008816332,0.0004144654,0.0001059969,0.00005175255,0.0006341333,0.0004252179,0.01324183],"genre_scores_gemma":[0.9738562,0.0008711267,0.003329725,0.00007250817,0.00001302415,0.00002146956,0.0009296543,0.00006793937,0.02083855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003548762,"threshold_uncertainty_score":0.01187181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006335286673790256,"score_gpt":0.2385496918943238,"score_spread":0.2322144052205336,"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."}}