{"id":"W2166712818","doi":"10.1109/sccc.2005.1587868","title":"Parallel Evolution Strategy for Protein Threading","year":2006,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Threading (protein sequence); Computer science; Protein structure prediction; Multithreading; Parallel computing; Sequence (biology); Set (abstract data type); Protein structure; Algorithm; Biology; Thread (computing); Programming language","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":[0.0005207788,0.0004271336,0.000602409,0.0005025177,0.0005490138,0.0004438194,0.0007779399,0.000573369,0.001385768],"category_scores_gemma":[0.001071616,0.0002133997,0.0003578425,0.0004956573,0.0005929518,0.0006839292,0.0007013515,0.0007023019,0.0002677607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006774641,"about_ca_system_score_gemma":0.000717234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670409,"about_ca_topic_score_gemma":0.001227328,"domain_scores_codex":[0.9996719,0.00008433974,0.0000193094,0.00005198742,0.0001309215,0.00004144589],"domain_scores_gemma":[0.9996779,0.0001146545,0.00002542257,0.00005566751,0.00009843932,0.00002797478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002717637,0.0002673963,0.001393398,0.0001139135,0.00008445484,0.0003590822,0.0001860717,0.5612894,0.04766396,0.1836805,0.004328564,0.2003615],"study_design_scores_gemma":[0.00006230771,0.00004768404,0.000121101,0.000003007126,0.00001224109,0.00006849934,0.00001036972,0.9692551,0.004030332,0.02358533,0.002795458,0.000008636938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06421647,0.0004174623,0.9254307,0.0004189981,0.00009728246,0.0001093617,0.0000412182,0.0005921515,0.008676313],"genre_scores_gemma":[0.5158316,0.0004363879,0.4744344,0.0002355087,0.00005357353,0.0003371979,0.0001373143,0.000176696,0.0083573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001670409,"threshold_uncertainty_score":0.004915357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241186765406303,"score_gpt":0.2598037252623769,"score_spread":0.2356850487217466,"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."}}