{"id":"W1972519927","doi":"10.1109/isplc.2012.6201336","title":"Channel characterization for power line communication in a hybrid electric vehicle","year":2012,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Power-line communication; Data transmission; Channel (broadcasting); Transmission (telecommunications); Communications system; Electric vehicle; Computer science; Automotive engineering; Maximum power transfer theorem; Electrical engineering; Line (geometry); Electric power transmission; Focus (optics); Electricity; Engineering; Power (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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001974088,0.00007307777,0.00008451752,0.0001135176,0.00003906466,0.00001304976,0.0001663871,0.00003107565,0.0000303913],"category_scores_gemma":[0.00002275513,0.00007543862,0.00002477816,0.0002009662,0.000005223114,0.0002710058,0.00002832854,0.00008528485,0.00002468269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004421964,"about_ca_system_score_gemma":0.000005306933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007471556,"about_ca_topic_score_gemma":0.000008411889,"domain_scores_codex":[0.9995275,0.00001940427,0.0001701921,0.00004875047,0.00003782769,0.0001963532],"domain_scores_gemma":[0.9994819,0.000049609,0.00002034074,0.0003759929,0.00003135382,0.00004077376],"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":[0.0001156078,0.001692505,0.008613607,0.0001977663,0.000113625,5.19115e-7,0.003833549,0.004651613,0.9180272,0.01570829,0.005027122,0.04201861],"study_design_scores_gemma":[0.001008049,0.00006946264,0.06207041,0.00003949718,0.00001359976,0.000004349534,0.00005073052,0.8370766,0.06429527,0.0003630681,0.03460472,0.0004042313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307781,0.001281298,0.0638316,0.0003735509,0.0001258538,0.0003727567,0.00001329432,0.0002464428,0.00297704],"genre_scores_gemma":[0.9982582,0.0004896878,0.0007001825,0.00007809028,0.00003187141,0.0001166124,0.0001718353,0.00002177199,0.0001316909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8537319,"threshold_uncertainty_score":0.3076298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546662854158581,"score_gpt":0.2363321822865508,"score_spread":0.220865553744965,"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."}}