{"id":"W2275568745","doi":"","title":"Accounting for residual deformation and simple approaches to their mitigation","year":2006,"lang":"en","type":"article","venue":"University of Canterbury Research Repository (University of Canterbury)","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Earthquake Commission","keywords":"Residual; Structural engineering; Stiffness; Deformation (meteorology); Curvature; Seismic analysis; Displacement (psychology); Residual stress; Simple (philosophy); Engineering; Computer science; Geology; Mathematics; Algorithm; Geometry; Materials science","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":[0.001236846,0.001913197,0.0009009063,0.001048391,0.0003449707,0.0008801071,0.001249997,0.001083369,0.002543048],"category_scores_gemma":[0.002219891,0.0005589433,0.0009205661,0.0006548454,0.0007602988,0.001400577,0.001672001,0.001004889,0.0005049384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005369068,"about_ca_system_score_gemma":0.001060074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621785,"about_ca_topic_score_gemma":0.003874119,"domain_scores_codex":[0.9989905,0.0002507589,0.00007762853,0.000161466,0.0004469365,0.00007267392],"domain_scores_gemma":[0.9990733,0.0002517045,0.0002319828,0.0002643434,0.0001465373,0.00003215556],"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":[0.0001227333,0.0001497754,0.0033912,0.0004617414,0.0001117398,0.0001313083,0.0001821803,0.5115635,0.04613796,0.03469715,0.0008841393,0.4021665],"study_design_scores_gemma":[0.00003735304,0.000451211,0.005927351,0.0001095623,0.00009776044,0.0002769067,0.0001023524,0.9167863,0.03043901,0.03401457,0.01164483,0.0001128576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01001847,0.000304373,0.9872694,0.0001228449,0.00003293408,0.00005410062,0.00004361412,0.0003270595,0.001827123],"genre_scores_gemma":[0.4192615,0.0009567334,0.5729895,0.0001005919,0.00008776855,0.0002239475,0.0001846787,0.0001860191,0.006009214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002543048,"threshold_uncertainty_score":0.008507371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657412646042849,"score_gpt":0.2056943176712105,"score_spread":0.169120191210782,"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."}}