{"id":"W4225009860","doi":"10.1093/nar/gkac279","title":"GraPES: The Granule Protein Enrichment Server for prediction of biological condensate constituents","year":2022,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"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","keywords":"Biology; Granule (geology); Computational biology; Cell biology","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":[0.0008052905,0.002129866,0.0009955297,0.001352702,0.0003769771,0.001240534,0.001582072,0.0008882408,0.01842907],"category_scores_gemma":[0.001927268,0.000830371,0.001344618,0.001114246,0.0002424519,0.001232079,0.001312297,0.001019462,0.0208753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517819,"about_ca_system_score_gemma":0.0007090667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960919,"about_ca_topic_score_gemma":0.002251081,"domain_scores_codex":[0.9997661,0.0000283354,0.00001996576,0.00009249648,0.00006911775,0.00002395869],"domain_scores_gemma":[0.9996772,0.0001089197,0.00003618809,0.00006681065,0.00005051845,0.0000603972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003236865,0.000269952,0.01755907,0.0024677,0.0006356933,0.001035319,0.0002928449,0.01883581,0.06076798,0.00488602,0.7742432,0.1157695],"study_design_scores_gemma":[0.001706674,0.0004852219,0.03320254,0.0003605887,0.0003403814,0.001724291,0.0002314087,0.5422802,0.08012233,0.02145371,0.3177212,0.0003713979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.04058273,0.001434212,0.1339035,0.0002877904,0.0002410548,0.0003000525,0.2508052,0.567737,0.00470841],"genre_scores_gemma":[0.1353163,0.001080947,0.1790159,0.0003421898,0.00009146006,0.0005423762,0.6451612,0.03150098,0.006948708],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01842907,"threshold_uncertainty_score":0.06165141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06453587836334336,"score_gpt":0.3389805930883721,"score_spread":0.2744447147250288,"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."}}