{"id":"W3169928931","doi":"10.1016/j.tws.2021.108022","title":"Nonlinear seismic analysis of perforated steel plate shear walls using a macro-model","year":2021,"lang":"en","type":"article","venue":"Thin-Walled Structures","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Structural engineering; Steel plate shear wall; Nonlinear system; Macro; Materials science; Shear wall; Shear (geology); Geology; Composite material; Engineering; Computer science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001410902,0.0003146632,0.0007927236,0.0004903792,0.0001164723,0.00005540529,0.0002595855,0.0001857392,0.0004350316],"category_scores_gemma":[0.0000270352,0.0002928355,0.0003897117,0.001667976,0.00005385219,0.0001821065,0.00007116795,0.0003230623,0.000008296268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008513351,"about_ca_system_score_gemma":0.0001063425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008430002,"about_ca_topic_score_gemma":0.00003790153,"domain_scores_codex":[0.9983289,0.00003704791,0.000547105,0.0003301766,0.0003533839,0.0004033832],"domain_scores_gemma":[0.9990466,0.00004504382,0.0001040648,0.0005271171,0.0001715669,0.0001056045],"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":[0.00001993356,0.00001442071,0.0003665356,0.000071538,0.002536063,0.00002158084,0.001161876,0.9501621,0.04509303,0.0000319334,0.00009634827,0.000424629],"study_design_scores_gemma":[0.0004037133,0.00001039168,0.0008847192,0.00002510643,0.001697123,0.00001026716,0.0003026121,0.9684577,0.02748656,0.0003021445,0.0001125709,0.0003070942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884229,0.0006478635,0.009884479,0.0000271699,0.0001055107,0.00006972704,0.0001239907,0.0001628136,0.0005555691],"genre_scores_gemma":[0.9887891,0.0002470611,0.01019937,0.0001994712,0.00007180808,0.000002422994,0.0001965847,0.00004714864,0.0002470728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01829559,"threshold_uncertainty_score":0.9999524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552919707032548,"score_gpt":0.2468762022649589,"score_spread":0.2313470051946334,"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."}}