{"id":"W2066404290","doi":"10.1109/isplc.2012.6201294","title":"On the design of impedance matching circuits for vehicular power line communication systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inductor; Inductance; Impedance matching; Electronic engineering; Electrical impedance; Overhead (engineering); Electronic circuit; Computer science; Electrical engineering; Power-line communication; Engineering; Power (physics); Voltage; 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":[0.0004131026,0.0004779791,0.0003108605,0.0004367449,0.0002945241,0.0009490864,0.0008999119,0.0007902898,0.002436457],"category_scores_gemma":[0.001479794,0.0002460409,0.0003202567,0.0004654948,0.0003676379,0.0008679992,0.0003238981,0.000377381,0.0007244166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007243773,"about_ca_system_score_gemma":0.0003113422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004957393,"about_ca_topic_score_gemma":0.0006894391,"domain_scores_codex":[0.9996494,0.00009863732,0.00002354846,0.00006096913,0.000139464,0.00002799806],"domain_scores_gemma":[0.9995993,0.0001665689,0.00007758263,0.00003087343,0.0001157332,0.00001004975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003210717,0.000132788,0.0009894638,0.0007381912,0.00008914375,0.0003434935,0.0004299666,0.2557105,0.2586831,0.2038158,0.003329393,0.2754171],"study_design_scores_gemma":[0.00009227877,0.0006399511,0.0005320739,0.000153847,0.0001216649,0.000600995,0.00009458897,0.800189,0.1002162,0.03649826,0.06081122,0.00004994877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01404011,0.0009566844,0.9733757,0.0002934595,0.00004587117,0.00009070711,0.00002276008,0.0002882053,0.01088662],"genre_scores_gemma":[0.6327952,0.002284365,0.353779,0.0002987492,0.0001536655,0.0002122599,0.00007964652,0.0001030075,0.01029418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002436457,"threshold_uncertainty_score":0.008150756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0400009074422596,"score_gpt":0.2568227308164031,"score_spread":0.2168218233741435,"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."}}