{"id":"W4382725503","doi":"10.1016/j.epsr.2023.109649","title":"An Enhanced Method to Achieve Exact DC Values for Frequency-dependent Transmission lines","year":2023,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Admittance; Transmission line; Electric power transmission; Overhead (engineering); Weighting; Frequency domain; Transmission (telecommunications); Rational function; Function (biology); Line (geometry); Electronic engineering; Time domain; Computer science; Topology (electrical circuits); Control theory (sociology); Mathematics; Engineering; Electrical impedance; Electrical engineering; Physics; Acoustics; Telecommunications; Mathematical analysis","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":[0.00369632,0.0002498587,0.0003918143,0.0006751118,0.0004913859,0.0002360492,0.0006252854,0.00009014002,0.00009480204],"category_scores_gemma":[0.00003965152,0.0002081869,0.0001151724,0.001890428,0.00001812209,0.0001544768,0.00004533091,0.0004252144,0.0002402367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121376,"about_ca_system_score_gemma":0.000286498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007110731,"about_ca_topic_score_gemma":0.000001631976,"domain_scores_codex":[0.9958637,0.0007782906,0.000414139,0.0007123518,0.0008529193,0.00137861],"domain_scores_gemma":[0.9980008,0.0006040453,0.00006188381,0.0005313235,0.0003834954,0.0004184353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001705362,0.0001786378,0.00009441254,0.00006002673,0.0001026611,0.000003256373,0.001934021,0.0002774205,0.9520441,0.003997743,0.007206915,0.03393025],"study_design_scores_gemma":[0.003258487,0.01546212,0.001037915,0.000337562,0.00007420988,0.000009524281,0.002737929,0.03276348,0.8516358,0.05149886,0.03945274,0.001731413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3229827,0.0007172452,0.650808,0.0009712873,0.0005545342,0.003783834,0.00005073781,0.0003997622,0.01973191],"genre_scores_gemma":[0.9858837,0.00001088637,0.00182382,0.00001499188,0.0006010256,0.001165555,0.00005101689,0.00006749827,0.01038151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.662901,"threshold_uncertainty_score":0.8489617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03695873014596742,"score_gpt":0.3886485852191823,"score_spread":0.3516898550732149,"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."}}