{"id":"W4400497311","doi":"10.1080/13632469.2024.2368172","title":"Defining Design Parameters for Controlled Rocking Braced Frames to Control Seismic Losses","year":2024,"lang":"en","type":"article","venue":"Journal of Earthquake Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural engineering; Braced frame; Seismic analysis; Vibration control; Geology; Engineering; Seismology; Frame (networking); Geotechnical engineering; Computer science; Vibration; Physics; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007466179,0.001010716,0.0003062118,0.0006476917,0.0001769748,0.0005536278,0.0007101961,0.0004972832,0.001264623],"category_scores_gemma":[0.002453022,0.0002588723,0.0002592803,0.0002500077,0.0002802158,0.000419864,0.0003098108,0.0003216956,0.0003267599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003434026,"about_ca_system_score_gemma":0.0002865212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004269744,"about_ca_topic_score_gemma":0.0006048679,"domain_scores_codex":[0.9995725,0.00009953885,0.00003078748,0.00007170978,0.0001624297,0.00006308902],"domain_scores_gemma":[0.9990214,0.0003294173,0.0003721618,0.0000840439,0.0001615681,0.00003139353],"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":[0.000565099,0.000361062,0.004496301,0.0006371893,0.00005632221,0.000221019,0.0003067966,0.4946123,0.3593942,0.004726542,0.0007745926,0.1338485],"study_design_scores_gemma":[0.0002146073,0.002516357,0.0104647,0.0001594587,0.0002081619,0.0003546824,0.0002429687,0.7262161,0.2450542,0.001835906,0.01261608,0.0001168298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4639461,0.0007521213,0.5220752,0.00007924503,0.00004740881,0.0003401394,0.0001153732,0.0006679955,0.01197632],"genre_scores_gemma":[0.961535,0.0001018249,0.03767971,0.00001265277,0.000005297749,0.0001529273,0.00003641779,0.00004610363,0.0004302403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001264623,"threshold_uncertainty_score":0.004230618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009336435716058475,"score_gpt":0.2212407332061478,"score_spread":0.2119042974900894,"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."}}