{"id":"W1964536587","doi":"10.1002/eqe.717","title":"Effectiveness of simple approaches in mitigating residual deformations in buildings","year":2007,"lang":"en","type":"article","venue":"Earthquake Engineering & Structural Dynamics","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Earthquake Commission","keywords":"Residual; Stiffness; Structural engineering; Curvature; Yield (engineering); Engineering; Structural system; Monotonic function; Moment (physics); Frame (networking); Computer science; Mathematics; Geometry; Mechanical engineering; Materials science; Algorithm; Mathematical analysis; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004671733,0.00017862,0.0002750488,0.0004284325,0.00002323672,0.00001540598,0.000127756,0.00009165407,0.000003849636],"category_scores_gemma":[0.00004640571,0.0001880527,0.00005870692,0.0007074344,0.00002224433,0.0002688373,0.00002409773,0.00028511,0.000001568287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646513,"about_ca_system_score_gemma":0.000008097119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009219351,"about_ca_topic_score_gemma":0.0002840013,"domain_scores_codex":[0.9989241,0.00001289812,0.0004246912,0.0001338339,0.0001406977,0.0003637316],"domain_scores_gemma":[0.9996236,0.0001394971,0.00003662879,0.0001414578,0.00001642643,0.0000423931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000006367558,0.00000316139,0.03541337,0.0003121643,0.00001957863,0.000004816957,0.0003354233,0.907845,0.0008857049,0.0005004536,4.196893e-7,0.05467356],"study_design_scores_gemma":[0.0001864537,0.000006967268,0.5447205,0.00008520055,0.000004292476,0.000004708233,0.0001321648,0.4535853,0.001044016,0.0001039302,0.000002939998,0.0001234878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763197,0.00008168341,0.02317967,0.000003377197,0.00009513419,0.0001118893,0.00001323651,0.00008943454,0.0001058195],"genre_scores_gemma":[0.9972093,0.000008008529,0.002648048,0.000001826287,0.00002906514,0.000006121629,0.00007077508,0.00002432379,0.000002521546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5093072,"threshold_uncertainty_score":0.7668566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006982311689820552,"score_gpt":0.2052410770639219,"score_spread":0.1982587653741014,"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."}}