{"id":"W3204303806","doi":"10.1016/j.istruc.2021.08.094","title":"Design, validation, and application of a hybrid shape memory alloy-magnetorheological fluid-based core bracing system under tension and compression","year":2021,"lang":"en","type":"article","venue":"Structures","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bracing; Magnetorheological fluid; SMA*; Structural engineering; Damper; Shape-memory alloy; Dissipation; Stiffness; Smart material; Engineering; Materials science; Computer science; Brace; Composite material","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":[0.0001226937,0.0001264639,0.0002303412,0.00003731157,0.00008720349,0.00002449027,0.00004904339,0.00008792101,0.00004384315],"category_scores_gemma":[0.000042938,0.00009331586,0.00002793523,0.00007141524,0.00008201832,0.00005936115,0.00003458099,0.00008986249,7.724963e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000126744,"about_ca_system_score_gemma":0.0000152145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004310436,"about_ca_topic_score_gemma":9.583598e-7,"domain_scores_codex":[0.999205,0.00008959996,0.0002617791,0.0002162854,0.0001195386,0.0001077847],"domain_scores_gemma":[0.9994981,0.0001639745,0.00004202692,0.0001368905,0.0000960449,0.00006301786],"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":[0.00003852433,0.000008202132,0.001029124,0.0001989433,0.00002560964,0.000007701527,0.00002836532,0.1997172,0.7883115,0.004152303,0.0001589538,0.006323633],"study_design_scores_gemma":[0.0005025003,0.00004646919,0.01537824,0.00003711027,0.00002629238,0.00004083237,0.00005619832,0.8921335,0.09065393,0.0009809027,0.00002630568,0.0001177403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6601991,0.001428153,0.3378398,0.00005063271,0.0001037975,0.0001682292,0.000006149957,0.0001291899,0.00007499233],"genre_scores_gemma":[0.9945408,0.00003694956,0.005208491,0.00009224648,0.00005202091,0.00001017367,0.00004046561,0.0000104241,0.000008444971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6976575,"threshold_uncertainty_score":0.380531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512335696833791,"score_gpt":0.2207273009624959,"score_spread":0.205603943994158,"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."}}