{"id":"W4248428990","doi":"10.36227/techrxiv.12482393.v1","title":"An Electromagnetic Model for the Calculation of Tower Surge Impedance Based on Thin Wire Approximation","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Hydro","funders":"","keywords":"Tower; Ground; Transmission tower; Transmission line; Electric power transmission; Voltage; Electrical impedance; Electrical engineering; Engineering; Characteristic impedance; Electrical conductor; Electromagnetic field; Structural engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001441863,0.0004965357,0.0005074518,0.0004781357,0.000322293,0.0005847486,0.001182906,0.0009170767,0.00307316],"category_scores_gemma":[0.0005476265,0.0003228998,0.0005547873,0.0006758954,0.0002725192,0.0008486866,0.0003307604,0.0005706099,0.001400533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004106121,"about_ca_system_score_gemma":0.00054217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745514,"about_ca_topic_score_gemma":0.002093198,"domain_scores_codex":[0.9998491,0.00003201352,0.000008411558,0.00002733263,0.00007026032,0.00001289355],"domain_scores_gemma":[0.9998678,0.00003923331,0.00002089047,0.00002517941,0.00003983994,0.000007107891],"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":[0.00003765604,0.00004254798,0.0008460308,0.000168439,0.00002889618,0.0005233438,0.00009336818,0.9188165,0.02470974,0.02862982,0.001977344,0.02412624],"study_design_scores_gemma":[0.000003587546,0.00001201227,0.0001341109,0.000006341367,0.000005013995,0.00005623835,0.000005864727,0.9952165,0.001188775,0.001275493,0.002091525,0.000004546915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01737441,0.0003765221,0.9612287,0.00009108108,0.00007500919,0.000061855,0.0002201794,0.0008814766,0.01969083],"genre_scores_gemma":[0.6423916,0.002185646,0.3137315,0.000147688,0.0001138185,0.0004834321,0.000840489,0.0005626408,0.03954331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00307316,"threshold_uncertainty_score":0.01028073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887417884919483,"score_gpt":0.2588757265918279,"score_spread":0.240001547742633,"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."}}