{"id":"W2615001429","doi":"10.1139/cjce-2016-0034","title":"A simple method for determining seismic demands on gravity load frames","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Structural engineering; Nonlinear system; Bending moment; Benchmark (surveying); Modal; Stiffness; Shear force; Seismic analysis; Displacement (psychology); Seismic loading; Modal analysis; Computer science; Geology; Engineering; Materials science; Physics; Geodesy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0002247836,0.0008223112,0.0004750372,0.00131521,0.0002647644,0.0003691314,0.000658537,0.0004436828,0.005076221],"category_scores_gemma":[0.001301809,0.0003389221,0.0003910135,0.0004444702,0.0002612005,0.0005406732,0.0004204902,0.0003918198,0.001261957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004004715,"about_ca_system_score_gemma":0.0008170261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008294245,"about_ca_topic_score_gemma":0.01113128,"domain_scores_codex":[0.9996859,0.0000338911,0.00001209158,0.00004410465,0.0002056324,0.0000184472],"domain_scores_gemma":[0.999681,0.0001132778,0.00003635863,0.0000431144,0.0001122519,0.00001397875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001798314,0.0001115869,0.004319023,0.0002720033,0.00006348259,0.0001278485,0.000206672,0.3252246,0.2053564,0.01033927,0.00228885,0.4515104],"study_design_scores_gemma":[0.00001937261,0.00007548265,0.003692694,0.00001437143,0.00001882935,0.00008587404,0.000045209,0.968556,0.021207,0.001682032,0.004562324,0.00004097253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01748161,0.00002271513,0.9793246,0.00001624291,0.00001762773,0.00007215302,0.0001561333,0.0008164599,0.002092458],"genre_scores_gemma":[0.3842949,0.000128132,0.610272,0.00003201143,0.00002860147,0.0002483634,0.0005074257,0.0002407419,0.004247838],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008294245,"threshold_uncertainty_score":0.01698166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225561272869332,"score_gpt":0.2443710347368002,"score_spread":0.2321154220081069,"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."}}