{"id":"W1967294339","doi":"10.1109/glocom.2011.6133944","title":"Ergodic Capacity of a DSL Binder Channel","year":2011,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Digital subscriber line; Upper and lower bounds; Channel (broadcasting); Channel capacity; Computer science; Ergodic theory; Bounded function; Interference (communication); Capacity planning; Gaussian; Ergodicity; Topology (electrical circuits); Algorithm; Electronic engineering; Telecommunications; Mathematics; Statistics; Engineering; Electrical engineering; Physics; Mathematical analysis","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":[0.001168412,0.0007250016,0.0006853042,0.001385885,0.0006086421,0.001790002,0.0007861785,0.0006391049,0.002302509],"category_scores_gemma":[0.005119132,0.0002788343,0.0003814813,0.001074283,0.002181194,0.00203728,0.0009101051,0.0007475285,0.0004361789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002416973,"about_ca_system_score_gemma":0.001413967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005571743,"about_ca_topic_score_gemma":0.001979509,"domain_scores_codex":[0.998755,0.0002847777,0.00002855521,0.0001232489,0.000387636,0.000420749],"domain_scores_gemma":[0.9961329,0.002682002,0.0003511085,0.0002148487,0.0005207936,0.00009832925],"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":[0.00009074115,0.00002854303,0.0008202171,0.00008322715,0.00002948084,0.0001557919,0.00009489724,0.9053536,0.00722824,0.081112,0.0006214329,0.004381821],"study_design_scores_gemma":[0.000002948266,0.00001273553,0.0002399323,0.000009982763,0.000007525955,0.00004052268,0.00002203787,0.9852533,0.002430299,0.01172698,0.0002367772,0.00001692578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.452432,0.002049332,0.5115811,0.0006721543,0.0000703114,0.00005637489,0.00102721,0.0006900326,0.0314215],"genre_scores_gemma":[0.9936219,0.0004886388,0.003923558,0.00004373981,0.000034969,0.00003485473,0.0001840026,0.0000398907,0.001628436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005571743,"threshold_uncertainty_score":0.0175364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0637501402515109,"score_gpt":0.2062505024837801,"score_spread":0.1425003622322692,"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."}}