{"id":"W2073970179","doi":"10.12989/was.2014.18.3.235","title":"Effective technique to analyze transmission line conductors under high intensity winds","year":2014,"lang":"en","type":"article","venue":"Wind and Structures","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Conductor; Electrical conductor; Flexibility (engineering); Transmission line; Finite element method; Line (geometry); Nonlinear system; Computer science; Electric power transmission; Intensity (physics); Structural engineering; Span (engineering); Mechanics; Mathematics; Physics; Engineering; Electrical engineering; Geometry; Telecommunications","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":[0.0000600648,0.0001187024,0.0001863514,0.0001022384,0.00005912176,0.00002501279,0.00004708002,0.00008647284,0.0000715498],"category_scores_gemma":[0.00001087171,0.00009081428,0.00003961786,0.0001393737,0.00002487349,0.00005827624,0.00001050204,0.00010978,0.00000190854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001511172,"about_ca_system_score_gemma":0.000003138765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000285911,"about_ca_topic_score_gemma":0.00001184419,"domain_scores_codex":[0.9995563,0.00002201463,0.000103253,0.0001402463,0.00007329525,0.0001048871],"domain_scores_gemma":[0.9997414,0.00002153026,0.00001158571,0.0001005306,0.00002647484,0.00009847258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009702209,0.00002165613,0.003037198,0.0001576603,0.0004106018,0.000006091837,0.001702079,0.5435382,0.3104421,0.01250765,0.001370287,0.1267094],"study_design_scores_gemma":[0.001328834,0.0004338822,0.372893,0.0001021749,0.0002940119,0.00004332541,0.0004069094,0.3700033,0.1912625,0.05441947,0.007554744,0.001257891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5494993,0.00002686255,0.4497629,0.0001234732,0.00006931519,0.0001021433,0.000003898253,0.00009496222,0.000317196],"genre_scores_gemma":[0.9978073,0.000005638754,0.001805555,0.000223409,0.00007927152,0.000003185108,0.00001337309,0.00001143526,0.00005083899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.448308,"threshold_uncertainty_score":0.3703299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003777683591063812,"score_gpt":0.2101003426638837,"score_spread":0.2063226590728199,"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."}}