{"id":"W1775862243","doi":"10.1007/978-3-319-08171-7_3","title":"An Eigendecomposition Method for Protein Structure Alignment","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Structural alignment; Computer science; Pairwise comparison; Multiple sequence alignment; Structural similarity; Similarity (geometry); Algorithm; Eigendecomposition of a matrix; Graph; Sequence alignment; Pattern recognition (psychology); Eigenvalues and eigenvectors; Artificial intelligence; Theoretical computer science; Biology","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":[0.001187071,0.001413487,0.0015775,0.001329148,0.0007033588,0.001255557,0.001671834,0.001195172,0.0083673],"category_scores_gemma":[0.002361817,0.001073806,0.001274632,0.001863529,0.0006947333,0.001703605,0.001930225,0.001984596,0.005003013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089342,"about_ca_system_score_gemma":0.0009536603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402127,"about_ca_topic_score_gemma":0.001919849,"domain_scores_codex":[0.9990927,0.0002406343,0.0000778774,0.0002083364,0.0003206409,0.00005988758],"domain_scores_gemma":[0.9987766,0.0005715421,0.00006499676,0.0002074002,0.0003306397,0.00004876876],"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":[0.0002882914,0.0001915646,0.0003502803,0.0002292732,0.0001337561,0.0001242228,0.0001456738,0.04219867,0.03695368,0.01253958,0.0152594,0.8915857],"study_design_scores_gemma":[0.0000527075,0.00007776369,0.0004267754,0.00002670991,0.00003519296,0.0002236562,0.00005219781,0.9588947,0.01466772,0.01843346,0.007065884,0.00004326901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002382528,0.0001406283,0.9957551,0.00003984799,0.00004118291,0.00002452899,0.00006852063,0.001213484,0.0003341979],"genre_scores_gemma":[0.01419171,0.0001512392,0.9826739,0.00006335247,0.00002956668,0.0001315225,0.0005495253,0.0005049505,0.001704176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0083673,"threshold_uncertainty_score":0.02799141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00775437222800223,"score_gpt":0.2700865460532064,"score_spread":0.2623321738252042,"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."}}