{"id":"W3008140494","doi":"10.1016/j.jmb.2020.02.020","title":"Distinct Features of Stress Granule Proteins Predict Localization in Membraneless Organelles","year":2020,"lang":"en","type":"article","venue":"Journal of Molecular Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Michael Smith Health Research BC; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Stress granule; Granule (geology); Proteome; Cell biology; Proteomics; Chemistry; Saccharomyces cerevisiae; Biology; Yeast; Biophysics; Biochemistry; Gene; Messenger RNA","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":[0.0002184679,0.0001144859,0.0002639711,0.00008129873,0.00002180549,0.000008069685,0.0002762257,0.0001534587,0.00001150984],"category_scores_gemma":[0.0004437409,0.00009196478,0.0001049677,0.000161962,0.0001023426,0.000004019407,0.00008339287,0.0001789808,5.901714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009413127,"about_ca_system_score_gemma":0.0001207449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003029319,"about_ca_topic_score_gemma":0.00003773243,"domain_scores_codex":[0.9989031,0.0001975926,0.0003902848,0.0001682293,0.0001454221,0.0001953876],"domain_scores_gemma":[0.999321,0.00001395863,0.0002422738,0.0001275436,0.0001775773,0.0001176739],"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":[0.0003593376,0.0000662325,0.01390942,0.00006810365,0.00005770613,0.00005383027,0.00005120677,0.0006124816,0.9835547,0.00008924712,0.0001655374,0.001012256],"study_design_scores_gemma":[0.001065456,0.001304324,0.003854937,0.00005119231,0.00001450971,0.00004392995,0.0001028379,0.0002373361,0.9924281,0.0001009127,0.0006914477,0.0001050612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702747,0.00155613,0.02730722,0.0005365979,0.00004088501,0.0001551335,0.00002227106,0.000002408904,0.0001046504],"genre_scores_gemma":[0.9989961,0.0001946311,0.000437629,0.0001746676,0.0001159833,0.000002758708,0.00004724978,0.00001454707,0.00001644196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02872139,"threshold_uncertainty_score":0.3750215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008341813766952108,"score_gpt":0.2648648748475122,"score_spread":0.2565230610805601,"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."}}