{"id":"W1874061795","doi":"10.1109/tdc.2001.971273","title":"Effects of conductor length and angle on the accuracy of inductive interference computations","year":2002,"lang":"en","type":"article","venue":"","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safe Engineering Services & Technologies (Canada)","funders":"","keywords":"Computation; Interference (communication); Conductor; Computer science; Equivalent circuit; Line (geometry); Electromagnetic interference; Electromagnetic field; Field (mathematics); Electronic engineering; Perfect conductor; Topology (electrical circuits); Algorithm; Voltage; Electrical engineering; Mathematics; Channel (broadcasting); Physics; Geometry; Engineering; Telecommunications; Optics","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":[0.0000244201,0.00005329286,0.00009010006,0.00001909747,0.00003222112,0.000006584941,0.00006036851,0.000006929087,0.0001673924],"category_scores_gemma":[0.00001450336,0.00003237673,0.00001751683,0.00006213649,0.00006226753,0.00003475004,0.00001929162,0.00005941295,0.000004849758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002648763,"about_ca_system_score_gemma":0.000005071731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006837177,"about_ca_topic_score_gemma":3.362676e-7,"domain_scores_codex":[0.999701,0.00002876273,0.00008511516,0.00007317273,0.00004261933,0.00006929436],"domain_scores_gemma":[0.9993269,0.0004918018,0.00006005223,0.00007460517,0.00002924308,0.00001740767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002809471,0.001239213,0.008264648,0.0001046513,0.0003890134,4.427805e-7,0.01852719,0.00002706776,0.1745778,0.712334,0.005353865,0.07915405],"study_design_scores_gemma":[0.001785999,0.002466068,0.04002842,0.000207484,0.0001108418,8.913599e-7,0.002695372,0.003939836,0.9035204,0.04443692,0.0004281258,0.000379641],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774017,0.0000288577,0.0003620389,0.0001737705,0.0000237799,0.00009894119,0.000003448515,0.00000488292,0.02190259],"genre_scores_gemma":[0.9995354,0.000001628415,0.0001229103,0.00002368553,0.00002442995,0.000006368015,8.489446e-7,0.000002948977,0.0002818143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7289426,"threshold_uncertainty_score":0.1832829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683858512476758,"score_gpt":0.2223618741639609,"score_spread":0.2055232890391933,"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."}}