{"id":"W2553947946","doi":"10.1111/tra.12459","title":"Cargo selectivity of yeast sorting nexins","year":2016,"lang":"en","type":"article","venue":"Traffic","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Retromer; Sorting nexin; Endosome; Biology; Vacuolar protein sorting; Cell biology; Saccharomyces cerevisiae; Protein targeting; Sorting; Transport protein; Yeast; Membrane protein; Biochemistry; Computer science; Membrane","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":[0.00007620963,0.0000592883,0.00007247172,0.00001588448,0.00002032301,0.000001980647,0.0000545484,0.00006274153,0.00002655136],"category_scores_gemma":[0.00001196694,0.00004426969,0.00006253164,0.00003890682,0.00003653012,0.000001593656,0.000007712892,0.00002058893,0.00000664232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004513288,"about_ca_system_score_gemma":0.00002964078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005726998,"about_ca_topic_score_gemma":0.0000838424,"domain_scores_codex":[0.9995744,0.00001411641,0.0001045422,0.0001373216,0.00005805063,0.0001116059],"domain_scores_gemma":[0.9997721,0.000003021939,0.00004130891,0.0001241631,0.00002977139,0.00002966652],"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":[0.00004033911,0.00002851242,0.002491087,0.000008005918,0.00001237575,7.395801e-7,0.0000511273,0.00003138707,0.9890593,0.00003057669,0.00002458589,0.008222009],"study_design_scores_gemma":[0.0005073524,0.0001599403,0.01912311,0.00001760129,0.000016259,0.000004992254,0.00002007333,0.00004594154,0.9713801,0.00001534648,0.008579832,0.0001294621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991721,0.0001184716,0.007529466,0.00003615356,0.00004643966,0.00004977248,0.000007497519,0.00001172951,0.0004794515],"genre_scores_gemma":[0.9993734,0.00003347785,0.0000647349,0.00001005833,0.00008020033,0.000002245962,0.00008180602,0.000009097426,0.0003450171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01767917,"threshold_uncertainty_score":0.1805266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00880656051959311,"score_gpt":0.2163087022874614,"score_spread":0.2075021417678682,"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."}}