{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003609894,0.0001201931,0.000250979,0.0004388765,0.0004004863,0.00002459176,0.0003032388,0.00009363293,0.00001062002],"category_scores_gemma":[0.00000847211,0.0001533594,0.0001027597,0.0003367564,0.0002177205,0.0004842053,0.0001120661,0.0001418781,0.000001695798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540559,"about_ca_system_score_gemma":0.00006569995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002824389,"about_ca_topic_score_gemma":0.0006965633,"domain_scores_codex":[0.9989923,0.00005506939,0.0001491536,0.0002101942,0.0002949834,0.0002982753],"domain_scores_gemma":[0.9993186,0.00008505418,0.00007781132,0.0002088374,0.000219691,0.0000900261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003794218,0.0005810799,0.0853873,0.007123413,0.002206381,0.0002566348,0.04610888,0.1096492,0.5356535,0.005596704,0.1501163,0.05352639],"study_design_scores_gemma":[0.003832541,0.0008110873,0.04901198,0.0008190594,0.0003439758,0.00004993922,0.09385308,0.7084032,0.0859561,0.0008519365,0.05490508,0.001162007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852201,0.0001481148,0.01056063,0.0001331372,0.00003669659,0.0002420679,0.00005310892,0.00005464154,0.003551521],"genre_scores_gemma":[0.9977792,0.00005788956,0.0009540472,0.000004153676,0.00004935164,1.95543e-7,0.00003326764,0.00001121927,0.00111071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.598754,"threshold_uncertainty_score":0.6253817,"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."}}