{"id":"W2549548172","doi":"10.18057/ijasc.2007.3.1.5","title":"DESIGN OPTIMIZATION OF STEEL MOMENT FRAMES UNDER EXTREME EARTHQUAKE LOADING","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Structural engineering; Moment (physics); Geology; Computer science; Materials science; Engineering; Physics; Classical mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003651964,0.0008022861,0.000533819,0.000329923,0.0002397017,0.0004183703,0.0004361038,0.0005967774,0.002237918],"category_scores_gemma":[0.0004707405,0.0003431457,0.0004270884,0.0002736987,0.00031067,0.0002873314,0.0003846421,0.0003895977,0.0003589526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003423765,"about_ca_system_score_gemma":0.0003681623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006775351,"about_ca_topic_score_gemma":0.0009838322,"domain_scores_codex":[0.9998054,0.00006304039,0.000005033532,0.00002865626,0.0000756261,0.000022239],"domain_scores_gemma":[0.9999238,0.00003530905,0.00001470182,0.000005003238,0.00001604861,0.000005083356],"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":[0.00005979859,0.00002415475,0.000237308,0.0001312758,0.00002141961,0.0001199396,0.00006991222,0.901158,0.03020865,0.01170299,0.0009686411,0.05529789],"study_design_scores_gemma":[0.00001617802,0.0001641054,0.0004255802,0.00002139335,0.00001518872,0.000068605,0.00003014921,0.983843,0.005716432,0.004487517,0.005201206,0.000010742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04041003,0.0003528445,0.9470365,0.00006216676,0.00003027637,0.00003981888,0.00004831437,0.0001419587,0.01187813],"genre_scores_gemma":[0.7057445,0.0009983458,0.2807921,0.00006246505,0.00007130774,0.0002784686,0.0001973562,0.0001918535,0.01166362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002237918,"threshold_uncertainty_score":0.007486582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05089178570726821,"score_gpt":0.2262655671302484,"score_spread":0.1753737814229802,"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."}}