{"id":"W3216298285","doi":"10.1109/mper.2002.4312299","title":"Extended Analysis of Ground Impedance Measurement Using the Fall-of-Potential Method","year":2002,"lang":"en","type":"article","venue":"IEEE Power Engineering Review","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safe Engineering Services & Technologies (Canada)","funders":"","keywords":"Electrical impedance; Focused Impedance Measurement; Potential method; Acoustics; Mathematics; Engineering; Electrical engineering; Physics; Algorithm","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":[0.0004969083,0.0001450824,0.0004729736,0.00007336645,0.00002993638,0.00001038068,0.0001933773,0.0000150377,0.0001973907],"category_scores_gemma":[0.00001319546,0.0001052858,0.0002621149,0.0007387489,0.00001534958,0.00004153567,0.00001745674,0.0001012219,0.000002283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000259157,"about_ca_system_score_gemma":0.00001266709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000678898,"about_ca_topic_score_gemma":2.680736e-7,"domain_scores_codex":[0.9989311,0.00004906181,0.0003782339,0.0001581699,0.0002812898,0.0002022204],"domain_scores_gemma":[0.9992976,0.00003630392,0.0001629264,0.0003461905,0.0001176027,0.00003938817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002352177,0.001352734,0.001339974,0.006580725,0.02684427,0.000008494275,0.003369435,0.2230709,0.5598404,0.01760538,0.00263021,0.1573339],"study_design_scores_gemma":[0.001405258,0.0004726482,0.007633178,0.00683402,0.02570949,0.00001462588,0.0001156605,0.9071412,0.03387624,0.0006854724,0.01414828,0.001963915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1578567,0.1306303,0.7089341,0.0001651148,0.000510885,0.0004921124,0.00002018677,0.00004620081,0.001344435],"genre_scores_gemma":[0.9946316,0.0006510171,0.004585782,0.00001933385,0.00005544473,0.00001189782,0.000001432842,0.00001415041,0.00002929487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8367749,"threshold_uncertainty_score":0.429343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403926034454293,"score_gpt":0.2639979822661567,"score_spread":0.2399587219216138,"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."}}