{"id":"W2765220423","doi":"10.1109/isemc.2017.8077891","title":"In situ crosstalk measurements of long cables – the multi-network analyzer method","year":2017,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Balun; Ethernet; Electronic engineering; Crosstalk; Computer science; Network analyzer (electrical); Bandwidth (computing); Spectrum analyzer; Engineering; Electrical engineering; Computer hardware; Telecommunications","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":[0.000474709,0.0007748211,0.0002855351,0.0006968118,0.0003958153,0.000476547,0.0005287661,0.0005388896,0.0009905249],"category_scores_gemma":[0.0008434461,0.0002327754,0.000135844,0.0007516161,0.0003231819,0.0008185191,0.0005699869,0.0004854718,0.0003283526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000495939,"about_ca_system_score_gemma":0.000274689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003896744,"about_ca_topic_score_gemma":0.0009629196,"domain_scores_codex":[0.9988922,0.0003147048,0.00004108415,0.0002565655,0.0004168412,0.0000785507],"domain_scores_gemma":[0.9993606,0.0001783103,0.000161215,0.0001045981,0.0001594763,0.00003577228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002123898,0.00009358417,0.00510849,0.0001331882,0.00005427793,0.0001962178,0.0002406607,0.008608627,0.92349,0.002082271,0.0005641356,0.05921626],"study_design_scores_gemma":[0.00002419829,0.0006076007,0.01041744,0.00003320889,0.00005876895,0.001074599,0.0001998555,0.1121828,0.8688664,0.001164714,0.005297988,0.00007248145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3913135,0.0006931138,0.5988995,0.0001521938,0.0001162283,0.00005989165,0.0001767706,0.00128579,0.007302897],"genre_scores_gemma":[0.9030221,0.0003543129,0.09435692,0.00009655469,0.00004221317,0.00005897791,0.0001044567,0.00006958249,0.001894887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009905249,"threshold_uncertainty_score":0.003598332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07658597815435012,"score_gpt":0.3486760528191763,"score_spread":0.2720900746648262,"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."}}