{"id":"W1999704582","doi":"10.1109/isplc.2014.6812364","title":"Adaptive impedance matching for Vehicular Power Line Communication systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Impedance matching; Electrical impedance; Computer science; Matching (statistics); Electronic engineering; Output impedance; SIGNAL (programming language); Power (physics); Impedance bridging; Standing wave ratio; Communications system; Characteristic impedance; Electrical engineering; Damping factor; Antenna (radio); Engineering; Telecommunications; Mathematics; 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":[0.0003329072,0.0003407997,0.0003019817,0.0002762006,0.0002952703,0.0006585437,0.0006107952,0.0006146936,0.001498599],"category_scores_gemma":[0.00118619,0.0001184533,0.0001929734,0.0003450555,0.0003385772,0.0006775893,0.0004512958,0.0003874355,0.000523889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005398186,"about_ca_system_score_gemma":0.0002215036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009693917,"about_ca_topic_score_gemma":0.0006395113,"domain_scores_codex":[0.999492,0.0001708173,0.00002303244,0.0000744484,0.0001998746,0.00003970096],"domain_scores_gemma":[0.9996158,0.0001339832,0.00008425485,0.00005212365,0.0000975365,0.00001617582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005465221,0.0001374089,0.002842139,0.0001800845,0.00005758378,0.0003648279,0.000293748,0.595863,0.2036976,0.01793098,0.001774806,0.1763113],"study_design_scores_gemma":[0.00003179343,0.00030703,0.00082859,0.000018988,0.00002654063,0.0001904883,0.00004458984,0.9501014,0.03418373,0.006937711,0.007305286,0.00002381447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08121432,0.000427577,0.9098755,0.000305118,0.00006876226,0.00007322148,0.0000358012,0.001190574,0.006809107],"genre_scores_gemma":[0.9810504,0.0001123721,0.01686111,0.00004551859,0.00001661422,0.00002303218,0.0000224512,0.00002486603,0.001843592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001498599,"threshold_uncertainty_score":0.005013347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436339924208601,"score_gpt":0.2358718817645936,"score_spread":0.2215084825225076,"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."}}