{"id":"W2025852217","doi":"10.1016/j.jweia.2010.05.002","title":"Estimation of stresses in atmospheric ice during aeolian vibration of power transmission lines","year":2010,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Centre québécois de recherche et de développement de l’aluminium; Électricité de France; Hydro-Québec; Université du Québec à Chicoutimi","keywords":"Vibration; Displacement (psychology); Structural engineering; Aeolian processes; Geology; Stress (linguistics); Geotechnical engineering; Engineering; Acoustics; Geomorphology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001867852,0.0003347831,0.0002701305,0.0006407966,0.000314869,0.0002647654,0.0001922821,0.0004060897,0.0005490883],"category_scores_gemma":[0.000361255,0.000174702,0.0001896098,0.0004130441,0.0001960422,0.0002123534,0.0001242068,0.0002572791,0.0001283229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001963971,"about_ca_system_score_gemma":0.0001556513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004980435,"about_ca_topic_score_gemma":0.006095889,"domain_scores_codex":[0.9999244,0.00001164287,0.000004350507,0.00002076747,0.00002224082,0.00001662445],"domain_scores_gemma":[0.999697,0.0001037412,0.00005146891,0.00001353828,0.00008752286,0.00004676761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002653122,0.0004421831,0.5320281,0.0001913618,0.000197932,0.001603266,0.001301135,0.05534822,0.3498419,0.0002186675,0.0006913929,0.05548268],"study_design_scores_gemma":[0.00001954975,0.0002317912,0.9229633,0.00001452966,0.00004748873,0.0001375168,0.0004166327,0.06490952,0.01091905,0.00004177889,0.0002784576,0.0000203208],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986273,0.00002715923,0.0009298176,0.000006496595,0.000004658706,0.000004232469,0.00006601838,0.000008676582,0.0003257062],"genre_scores_gemma":[0.9995611,0.00001524351,0.0002469482,0.000001399837,0.000003045732,0.00000237272,0.00006528391,0.000002100602,0.0001024507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004980435,"threshold_uncertainty_score":0.009902894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005584848218741351,"score_gpt":0.1899275031601064,"score_spread":0.184342654941365,"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."}}