{"id":"W2169400290","doi":"10.1142/9781860947322_0008","title":"CONSENSUS FOLD RECOGNITION BY PREDICTED MODEL QUALITY","year":2005,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Server; Support vector machine; Protein structure prediction; Artificial intelligence; Machine learning; Annotation; Data mining; Operating system; Protein structure","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001944952,0.0000988779,0.00008048539,0.00001536247,0.00004509367,0.00001480703,0.00008837457,0.0001336989,0.00008912615],"category_scores_gemma":[0.0001626102,0.00009160569,0.00004407223,0.00003178086,0.00003838994,0.000002027953,0.00004852522,0.000087632,0.00004812734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009386392,"about_ca_system_score_gemma":0.00003021905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001748181,"about_ca_topic_score_gemma":0.00002278409,"domain_scores_codex":[0.9993081,0.00004061251,0.0002461163,0.0001467305,0.0001050544,0.0001533498],"domain_scores_gemma":[0.9995597,0.00001130733,0.00007979381,0.0002185058,0.00006852864,0.00006218669],"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":[0.0001822218,0.0002006528,0.002487189,0.00005873269,0.00009824712,3.384422e-7,0.0001706566,0.005919292,0.463436,0.0002871597,0.4874976,0.03966192],"study_design_scores_gemma":[0.002002973,0.0002954887,0.0007940147,0.00001396914,0.00003494578,0.00002561042,0.0001073822,0.5491709,0.3103219,0.0003380041,0.1362043,0.0006905422],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8983874,0.00007410464,0.03712638,0.001038932,0.00004442701,0.0001638672,0.0001722159,0.00007967493,0.06291296],"genre_scores_gemma":[0.9517374,0.00003026182,0.03841289,0.001884115,0.0001094541,0.000009419387,0.001046826,0.00001435601,0.006755254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5432516,"threshold_uncertainty_score":0.3735572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796172315695359,"score_gpt":0.2889861959954219,"score_spread":0.2710244728384683,"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."}}