{"id":"W4285297527","doi":"10.1007/978-3-031-03811-2_69","title":"Dual System for Enhanced Seismic Performance of Friction-Sliding Braced Frames","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"OpenSees; Structural engineering; Braced frame; Damper; Moment (physics); Dissipation; Residual; Engineering; Frame (networking); Computer science; Finite element method; Mechanical engineering; Physics; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000179404,0.0005260543,0.0007976133,0.0006928684,0.000077702,0.00002187061,0.0002420565,0.0003829037,0.0001533624],"category_scores_gemma":[0.00003980348,0.0005947804,0.0002828705,0.0002208083,0.00001328003,0.0001584799,0.00005798092,0.0008134417,0.000006299057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709,"about_ca_system_score_gemma":0.00003534064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001126449,"about_ca_topic_score_gemma":0.00002196077,"domain_scores_codex":[0.9982714,0.000004607922,0.0006334258,0.0003610459,0.0002981831,0.0004313554],"domain_scores_gemma":[0.9991087,0.0002746052,0.0001357815,0.0003781173,0.00004802018,0.00005482496],"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":[0.00001226106,0.000003688138,0.0000134467,0.00174411,0.0001988299,0.000004052824,0.0002804772,0.9863001,0.00752623,0.000334394,0.00002208014,0.003560312],"study_design_scores_gemma":[0.000344337,0.00006770724,0.00001160677,0.001035319,0.0001297971,0.00001393294,0.00001328206,0.9542264,0.03255368,0.0000573156,0.01090515,0.0006414588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1141721,0.00817452,0.8418492,0.00004454137,0.004038627,0.001189438,0.0002584583,0.001656431,0.02861668],"genre_scores_gemma":[0.9972036,0.0006156457,0.000822189,0.0000199895,0.0004062585,0.0001156865,0.0001009536,0.0001977203,0.0005179154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8830315,"threshold_uncertainty_score":0.9996504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006588746980774704,"score_gpt":0.1869684501811947,"score_spread":0.18037970320042,"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."}}