{"id":"W3195593976","doi":"10.1002/prot.26222","title":"Prediction of protein assemblies, the next frontier: The <scp>CASP14‐CAPRI</scp> experiment","year":2021,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; H2020 European Institute of Innovation and Technology; Lietuvos Mokslo Taryba; National Institute of General Medical Sciences; Ministerio de Ciencia e Innovación; Narodowe Centrum Nauki; National Natural Science Foundation of China; Cancer Research UK; National Science Foundation; Department of Energy and Climate Change; National Institutes of Health; Institut national de recherche en informatique et en automatique (INRIA); Changzhou Science and Technology Bureau; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wellcome Trust; Medical Research Council Canada; Francis Crick Institute","keywords":"CASP; Server; Computer science; Template; Protein structure prediction; Data mining; Biology; Computer network; Protein structure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001819387,0.0002380318,0.0001849989,0.00003837386,0.0003156199,0.0001222286,0.0001982688,0.0002436168,0.00001727386],"category_scores_gemma":[0.0001854749,0.0001356803,0.00009921661,0.0001983036,0.0001824109,0.00003042773,0.0002013906,0.0002390359,0.000001536146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001719066,"about_ca_system_score_gemma":0.0001376486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001178923,"about_ca_topic_score_gemma":0.00002664893,"domain_scores_codex":[0.9987286,0.0000787493,0.0004257458,0.000217701,0.0003044423,0.0002447733],"domain_scores_gemma":[0.9988682,0.00001799041,0.0002756982,0.0005586018,0.0002121706,0.0000673238],"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":[0.00006003395,0.00004742734,0.0009243209,0.0002615129,0.0002730195,0.000001166911,0.001000845,0.0001008681,0.9618252,0.003206271,0.00336068,0.02893865],"study_design_scores_gemma":[0.001316748,0.0007851758,0.005921817,0.0000677346,0.0001381514,0.0001575595,0.005340735,0.004548977,0.8053031,0.003728322,0.1725153,0.0001763392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886119,0.007236421,0.09745253,0.0005264207,0.0009004197,0.002365712,0.0002708899,0.00005880117,0.002576905],"genre_scores_gemma":[0.9874557,0.0002556121,0.01018039,0.0005324474,0.0003623452,0.0001067582,0.0003436865,0.00002282045,0.0007402697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1691546,"threshold_uncertainty_score":0.5532881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129118542889246,"score_gpt":0.204990011256002,"score_spread":0.1936988258271095,"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."}}