{"id":"W2089122111","doi":"10.1109/isplc.2014.6812373","title":"Measurements and channel characterization for in-vehicle power line communications","year":2014,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of British Columbia; University of Waterloo","keywords":"Channel (broadcasting); Power (physics); Line (geometry); Focus (optics); Computer science; Automotive engineering; Modulation (music); Engineering; Telecommunications; Acoustics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001865261,0.00005711906,0.00007132223,0.00005858426,0.00004863182,0.00001665873,0.0001705997,0.00002996661,0.000008187479],"category_scores_gemma":[0.00002960439,0.00005794271,0.00001239735,0.00008024179,0.00001530302,0.00009707272,0.00005063723,0.00004935899,0.000005221227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000139362,"about_ca_system_score_gemma":0.000002883932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006924997,"about_ca_topic_score_gemma":0.00008399949,"domain_scores_codex":[0.9996675,0.00001790254,0.0001332288,0.0000575354,0.00003480602,0.00008909105],"domain_scores_gemma":[0.9994252,0.00003914699,0.00001120354,0.0004566086,0.00003839973,0.0000294621],"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":[0.0000660949,0.0009765612,0.02662601,0.0003086879,0.0001717611,1.700781e-7,0.003864934,0.005806352,0.8281206,0.02247863,0.00168235,0.1098979],"study_design_scores_gemma":[0.001020359,0.00006401896,0.04707427,0.00004143204,0.000009842009,7.143944e-7,0.00003162171,0.9129677,0.006358641,0.0004623697,0.031732,0.0002370275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.780883,0.0006675182,0.1943307,0.002629216,0.000215928,0.0007324362,0.00002686449,0.0003977194,0.02011658],"genre_scores_gemma":[0.9967515,0.0002431312,0.002663472,0.00009836906,0.00001152295,0.00006430617,0.00006534001,0.00001363346,0.00008866655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9071614,"threshold_uncertainty_score":0.2362835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04773001572752142,"score_gpt":0.2616816074149885,"score_spread":0.2139515916874671,"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."}}