{"id":"W2152976396","doi":"10.1109/tpwrd.2013.2291363","title":"Prediction of Aeolian Vibration on Transmission-Line Conductors Using a Nonlinear Time History Model—Part II: Conductor and Damper Model","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Damper; Conductor; Transmission line; Structural engineering; Vibration; Electric power transmission; Electrical conductor; Nonlinear system; Engineering; Stiffness; Span (engineering); Control theory (sociology); Acoustics; Physics; Computer science; Electrical engineering; Materials science","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":[0.0001481994,0.0003784324,0.000241124,0.0001549911,0.0001315985,0.0002553113,0.0004114602,0.0004732129,0.000821845],"category_scores_gemma":[0.0003756181,0.0001741851,0.0002547209,0.0001051801,0.0002932492,0.000407336,0.0001867526,0.0002961332,0.0001470806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003339046,"about_ca_system_score_gemma":0.0003149477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005506876,"about_ca_topic_score_gemma":0.003349677,"domain_scores_codex":[0.9999574,0.0000116652,0.0000021203,0.00001245352,0.0000111211,0.000005243185],"domain_scores_gemma":[0.9998639,0.00007796183,0.00002381684,0.00001162829,0.00001580403,0.000006796226],"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":[0.00001931504,0.00001466289,0.001198636,0.00002560351,0.000005269463,0.00004172451,0.00002287623,0.9891959,0.005449448,0.0003531333,0.00005518625,0.003618164],"study_design_scores_gemma":[0.000001982245,0.00001234685,0.0003795625,0.000001161662,0.000001225146,0.00000561647,0.000002605771,0.9987747,0.0006944708,0.00006490386,0.00006006496,0.000001343785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6895962,0.0002474065,0.3023356,0.000159224,0.00002097721,0.00005898957,0.0002354482,0.000307902,0.007038212],"genre_scores_gemma":[0.9926473,0.0000908579,0.005254099,0.000006352805,0.00000313569,0.00002534836,0.00005497656,0.00001420846,0.001903705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005506876,"threshold_uncertainty_score":0.01094961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02686727193495474,"score_gpt":0.2055890244347823,"score_spread":0.1787217524998276,"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."}}