{"id":"W2248442933","doi":"","title":"Computer Aided Design And Analysis Of RC Frame Buildings Subjected To Earthquakes","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Joint CIB W78, W102, ICCCBE, ICCC, and DMUCE International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada, 14-16 June","topic":"Seismic and Structural Analysis of Tall Buildings","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Seismic analysis; Frame (networking); Scope (computer science); Building design; Flexibility (engineering); Engineering; Computer science; Software; Process (computing); Automation; Scale (ratio); Computer Aided Design; Engineering design process; Interface (matter); Earthquake shaking table; Construction engineering; Civil engineering; Mechanical engineering; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002902685,0.0005566271,0.0005025697,0.0006963275,0.0002612725,0.0005461919,0.0004874156,0.0004882049,0.005816197],"category_scores_gemma":[0.0008760631,0.000272897,0.0004048472,0.0004533281,0.0002424882,0.0001628521,0.0002721881,0.0002418751,0.0007903178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006545609,"about_ca_system_score_gemma":0.0008598734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027948,"about_ca_topic_score_gemma":0.01089797,"domain_scores_codex":[0.9997566,0.00004668057,0.00001083808,0.00002507647,0.0001335496,0.00002719534],"domain_scores_gemma":[0.9997495,0.0001084032,0.00002152255,0.00002485987,0.00008877186,0.000006923426],"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":[0.0001876044,0.00003950259,0.001337983,0.0001335229,0.00001779061,0.0001389968,0.00009623809,0.9088366,0.0295905,0.00199761,0.001295977,0.05632765],"study_design_scores_gemma":[0.00002296998,0.0001456076,0.002098582,0.000009683378,0.00001657306,0.00004729581,0.00005156793,0.97944,0.0137628,0.0003578568,0.004033932,0.000013134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5155082,0.0003133822,0.4406315,0.000109449,0.00005617052,0.0002510651,0.001007275,0.003797271,0.03832567],"genre_scores_gemma":[0.9147631,0.0001847336,0.07515951,0.00002156086,0.000007630089,0.000182607,0.0007735453,0.0001715239,0.008735887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01027948,"threshold_uncertainty_score":0.02043927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009332012894538588,"score_gpt":0.2143276324142324,"score_spread":0.2049956195196938,"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."}}