{"id":"W2054839868","doi":"10.1061/(asce)st.1943-541x.0000470","title":"New Robust Linearized Seismic Analysis Method For Tall Guyed Telecommunication Masts","year":2011,"lang":"en","type":"article","venue":"Journal of Structural Engineering","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mast (botany); Structural engineering; Serviceability (structure); Induced seismicity; Engineering; Stiffness; Inertia; Nonlinear system; Icing; Civil engineering; Geology; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002077612,0.0001631871,0.0003974102,0.0004858002,0.00003536624,0.00003613414,0.0002556275,0.00008278313,0.0001495445],"category_scores_gemma":[0.00005091815,0.0001452191,0.0003721068,0.0005698325,0.000004976323,0.0002828156,0.00001875332,0.0002196913,0.00000140239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008064897,"about_ca_system_score_gemma":0.00002265041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002913162,"about_ca_topic_score_gemma":0.00001273635,"domain_scores_codex":[0.999043,0.00001542939,0.000540012,0.00008412023,0.0001393172,0.0001781422],"domain_scores_gemma":[0.9993337,0.00005966588,0.0001609737,0.0001955019,0.0001163574,0.0001337697],"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":[0.00001613474,0.000001791445,0.00009041583,0.00002008514,0.000946974,0.000001417164,0.0002676441,0.9913856,0.002576851,0.0000656293,0.00006650127,0.004560969],"study_design_scores_gemma":[0.0004545028,0.00002748183,0.003039959,0.00001150639,0.0006545488,0.00002655194,0.00004254853,0.9937981,0.001443442,0.00012185,0.0002238371,0.0001556116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01709107,0.0002126971,0.9821964,0.00003730548,0.0002184615,0.00006590298,0.00000430341,0.00007479882,0.00009905216],"genre_scores_gemma":[0.5337899,0.00002022805,0.4660086,0.00001042862,0.00009323938,0.000001182112,0.000008666127,0.00001839049,0.0000494076],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5166988,"threshold_uncertainty_score":0.5921864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682861592127787,"score_gpt":0.234816174572063,"score_spread":0.2179875586507851,"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."}}