{"id":"W2142319132","doi":"10.1002/prot.22538","title":"Assessment of the protein‐structure refinement category in CASP8","year":2009,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Fondation pour la Recherche Médicale","keywords":"CASP; Computer science; Correlation; Protein structure prediction; Protein structure; Template; Data mining; Mathematics; Chemistry","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":[0.0001069947,0.0002267757,0.0001991344,0.00007680539,0.00009652511,0.00003043962,0.0001847777,0.0002409122,0.00002658555],"category_scores_gemma":[0.00004561182,0.000146354,0.00005933129,0.0002544975,0.00009063103,0.00001562077,0.00009841046,0.0002557785,1.960892e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002962637,"about_ca_system_score_gemma":0.0001356818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000197864,"about_ca_topic_score_gemma":0.000142333,"domain_scores_codex":[0.9988506,0.0000410223,0.0004331843,0.0001996749,0.0002482498,0.0002272948],"domain_scores_gemma":[0.9991617,0.000002752809,0.0002572825,0.000417931,0.0001037085,0.00005660212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001318811,0.00004509514,0.007003004,0.000248948,0.00004852115,8.142887e-7,0.0001536683,0.0003678607,0.9551336,0.007571446,0.0002253677,0.02906975],"study_design_scores_gemma":[0.004426344,0.002731786,0.6128535,0.0002354824,0.000114713,0.0001480127,0.0005117763,0.006161266,0.3268853,0.03292911,0.01181225,0.0011905],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876146,0.0002064102,0.007981264,0.0003818349,0.0002303953,0.001519794,0.00009050198,0.00001720353,0.001957992],"genre_scores_gemma":[0.9872511,0.00001717186,0.01191998,0.0005096506,0.00008474852,0.00001384631,0.00008873416,0.00000914013,0.0001056045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6282484,"threshold_uncertainty_score":0.5968145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004078147536853637,"score_gpt":0.2198048741540042,"score_spread":0.2157267266171506,"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."}}