{"id":"W2089181751","doi":"10.1109/tdc.2012.6281455","title":"Use of modern technologies and software to deliver efficient design and optimization of 1380 km long bipole III ±500 kV HVDC transmission line, Manitoba, Canada","year":2012,"lang":"en","type":"article","venue":"","topic":"Power Line Inspection Robots","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Tower; Reliability (semiconductor); Transmission line; Electric power transmission; Software; Line (geometry); Spotting; Lidar; Computer science; Reliability engineering; Engineering; Telecommunications; Electrical engineering; Remote sensing; Civil engineering; Geography; Operating system","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":[0.000434138,0.001033501,0.0003306031,0.0006565236,0.0004737012,0.0005534363,0.0005681201,0.0003668145,0.009284902],"category_scores_gemma":[0.000834621,0.0005244841,0.0005346916,0.0004088267,0.0003272197,0.0002075745,0.0003149915,0.000469828,0.001055406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812527,"about_ca_system_score_gemma":0.003665941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1067474,"about_ca_topic_score_gemma":0.1497596,"domain_scores_codex":[0.9997826,0.00001849524,0.00001000152,0.00003188142,0.0001255399,0.00003155507],"domain_scores_gemma":[0.9996219,0.00009915815,0.0000340579,0.00002988704,0.0001977979,0.00001719915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007540548,0.0001193068,0.004325569,0.0003189088,0.00007510305,0.0002156962,0.0003362967,0.7098054,0.0412126,0.004616039,0.01084382,0.2280558],"study_design_scores_gemma":[0.00006007852,0.00009603962,0.002044945,0.00003837204,0.00004281089,0.00007640709,0.00007925427,0.9427759,0.01749557,0.0008818606,0.03637774,0.00003100015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06333876,0.0001650643,0.8894494,0.0001245919,0.00007244313,0.0002961923,0.0006441048,0.01442947,0.03147992],"genre_scores_gemma":[0.3482619,0.000286808,0.6286101,0.0001057446,0.00001515629,0.000675067,0.001194807,0.001615121,0.01923543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8932526,"threshold_uncertainty_score":0.2122521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507897875178121,"score_gpt":0.2068148446702933,"score_spread":0.1817358659185121,"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."}}