{"id":"W3111297735","doi":"","title":"Investigating the Adequacy of Accidental Eccentricity Recommended by Seismic Design Codes to Consider the Rotational Components in Nonlinear Dynamic Analysis","year":2020,"lang":"en","type":"article","venue":"Modares Civil Engineering journal","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Eccentricity (behavior); Seismic analysis; Nonlinear system; Accidental; Structural engineering; Engineering; Incremental Dynamic Analysis; Computer science; Physics; Acoustics; Law","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":[0.003708294,0.0003935529,0.0002321233,0.0006923852,0.0003945722,0.000504963,0.0005816591,0.0007560693,0.0008570595],"category_scores_gemma":[0.04272174,0.0001556276,0.0002063571,0.0003232525,0.0005417466,0.0008379926,0.0007465372,0.0004485697,0.0001431358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002208033,"about_ca_system_score_gemma":0.0008033002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001887538,"about_ca_topic_score_gemma":0.002221546,"domain_scores_codex":[0.9982212,0.001042747,0.000129743,0.0001662583,0.0003389301,0.0001011691],"domain_scores_gemma":[0.9780594,0.01551239,0.001656262,0.002082347,0.002453866,0.0002357825],"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":[0.003053307,0.0004584232,0.250291,0.0004366356,0.0001659297,0.0009314271,0.0008229267,0.5407904,0.0441688,0.04853365,0.001366524,0.108981],"study_design_scores_gemma":[0.00009924603,0.0004584136,0.03133758,0.0001495194,0.00007858962,0.0002744382,0.0004197347,0.9348072,0.01910808,0.01196786,0.001265675,0.00003375472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760263,0.0001732447,0.1189958,0.0002809956,0.00005129942,0.00003463282,0.0001144616,0.0001615174,0.004161769],"genre_scores_gemma":[0.9873837,0.00002977913,0.01240272,0.00001579441,0.000009012491,0.000007643815,0.00003417895,0.00002600653,0.00009118176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003708294,"threshold_uncertainty_score":0.01961154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03687623259657848,"score_gpt":0.2796766527049153,"score_spread":0.2428004201083368,"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."}}