{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007894692,0.001179558,0.001995096,0.00380823,0.0004650351,0.001801626,0.001786883,0.001302081,0.002767226],"category_scores_gemma":[0.03238259,0.0004455604,0.001453846,0.001673602,0.0004573964,0.002612204,0.001639367,0.001500941,0.00180004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034923,"about_ca_system_score_gemma":0.001495642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181546,"about_ca_topic_score_gemma":0.002454653,"domain_scores_codex":[0.9943745,0.00158022,0.0005759628,0.001134429,0.002012996,0.0003218088],"domain_scores_gemma":[0.9810538,0.009248649,0.001561611,0.002870083,0.004662194,0.0006036271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00213611,0.0005036413,0.06624117,0.0004336811,0.0006352758,0.000423155,0.0001729696,0.420689,0.03517109,0.00560673,0.01242659,0.4555607],"study_design_scores_gemma":[0.00002996953,0.00006189594,0.002019083,0.000009951909,0.00003375496,0.00007567335,0.00002494391,0.9855654,0.008983294,0.00269246,0.0004800502,0.00002348821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2008207,0.0004908475,0.7822111,0.0002732986,0.00009626627,0.000138447,0.001493173,0.01259172,0.001884511],"genre_scores_gemma":[0.7183113,0.0002108176,0.273832,0.00009881602,0.00004659155,0.000165255,0.005499054,0.0008316555,0.001004632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007894692,"threshold_uncertainty_score":0.04175162,"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."}}