{"id":"W7084502031","doi":"10.1007/978-3-031-95288-3_22","title":"Total Cost Topology Optimization of Steel Moment Frames with SMA-Bolted Connections","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Topology optimization; Moment (physics); SMA*; Optimal design; Topology (electrical circuits); Frame (networking); Progressive collapse; Minification","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":[0.00009769641,0.0002829515,0.0003421496,0.0007491226,0.00004201792,0.00004720992,0.0001196303,0.0002839825,0.0003731714],"category_scores_gemma":[0.00009828492,0.0002759295,0.00004613017,0.0003849472,0.00002249262,0.0001862549,0.00006853532,0.0003717484,0.000004719973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000697775,"about_ca_system_score_gemma":0.00003198157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001458751,"about_ca_topic_score_gemma":0.0005847363,"domain_scores_codex":[0.9990357,0.000002075156,0.0003291158,0.0002945391,0.0001537497,0.0001848822],"domain_scores_gemma":[0.999222,0.0001022325,0.0001983488,0.000251683,0.0002201973,0.000005545686],"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":[0.00002545402,0.00001475489,0.0001167726,0.0005660221,0.00007517566,0.000003698755,0.00003582241,0.9329202,0.0001041814,0.06366334,0.00006868635,0.002405946],"study_design_scores_gemma":[0.00274358,0.0001556109,0.00113304,0.004758694,0.0006844021,0.00002526802,0.00004791639,0.8228844,0.001719587,0.0163539,0.1470145,0.002479101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007505378,0.0008084714,0.9067065,0.003734508,0.001731645,0.001070031,0.00002100687,0.0002915454,0.08488574],"genre_scores_gemma":[0.9657176,0.0001774974,0.01288327,0.005112329,0.004385258,0.0002002818,0.00174904,0.0003376079,0.009437159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.964967,"threshold_uncertainty_score":0.9999693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008715516439894747,"score_gpt":0.1984872671610545,"score_spread":0.1897717507211598,"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."}}