{"id":"W2239396023","doi":"10.1111/tra.12374","title":"Calnuc Function in Endosomal Sorting of Lysosomal Receptors","year":2016,"lang":"en","type":"article","venue":"Traffic","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; Université de Sherbrooke","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Endosome; Biology; Cell biology; Sorting; Function (biology); Receptor; Computational biology; Genetics; Intracellular; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001814698,0.0004861546,0.0003425565,0.0004329539,0.0004157868,0.0006709587,0.0003856281,0.0007000443,0.0005389798],"category_scores_gemma":[0.0002148009,0.0001203204,0.000202757,0.0002309189,0.000458792,0.0002934291,0.0003613361,0.0004640892,0.000332565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586235,"about_ca_system_score_gemma":0.0004298345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136832,"about_ca_topic_score_gemma":0.002283304,"domain_scores_codex":[0.9998196,0.00003149073,0.00001938989,0.00004586718,0.00005642933,0.00002729577],"domain_scores_gemma":[0.9998808,0.00001549408,0.00002745128,0.00001819505,0.00001912449,0.00003897717],"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":[0.000141568,0.00002058912,0.0003433221,0.00007198066,0.000006230307,0.0001683007,0.00001509594,0.0002074248,0.9945229,0.0008886205,0.0001399945,0.003473866],"study_design_scores_gemma":[0.00004992915,0.0001082279,0.009611861,0.00002687103,0.00002989603,0.001017393,0.00003518711,0.005393781,0.9662061,0.000290084,0.01721488,0.00001583381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519381,0.02584107,0.0124358,0.0006976323,0.0001475692,0.0001094099,0.001022488,0.0004044274,0.007403593],"genre_scores_gemma":[0.9889418,0.00353511,0.003896996,0.0001601706,0.00001863671,0.00004896219,0.0004956857,0.00003107508,0.002871461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002136832,"threshold_uncertainty_score":0.01150894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008349527967362777,"score_gpt":0.2071179309951483,"score_spread":0.1987684030277856,"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."}}