{"id":"W2112401276","doi":"10.1109/ccece.2007.161","title":"Efficient Medium Access Control for Broadband Powerline Communications Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer network; Computer science; Last mile (transportation); The Internet; Protocol (science); Broadband; Power-line communication; Internet access; Access control; Media access control; Access network; Broadband networks; Transmission (telecommunications); Telecommunications; Mile; Power (physics); Wireless; Operating system","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":[0.0009042085,0.0003555084,0.0003332765,0.0004647304,0.0005280001,0.0008343255,0.0006370346,0.0004535312,0.001273319],"category_scores_gemma":[0.003334207,0.0001518993,0.000150796,0.000408876,0.0005270008,0.0009048114,0.0005425582,0.0006678983,0.0002006229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004899843,"about_ca_system_score_gemma":0.0005037611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029351,"about_ca_topic_score_gemma":0.001062615,"domain_scores_codex":[0.999018,0.0003129972,0.00004465818,0.00008628068,0.0004649514,0.0000731127],"domain_scores_gemma":[0.9986209,0.0007958445,0.0002007732,0.0001412341,0.0002169078,0.00002430224],"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":[0.0004338397,0.0002336865,0.001254392,0.0003791531,0.00007967956,0.0003818148,0.0002244822,0.5049637,0.08001202,0.1766745,0.003903944,0.2314588],"study_design_scores_gemma":[0.0000389916,0.0001792741,0.000289612,0.00001886412,0.00002479514,0.0001309549,0.00001775947,0.9706386,0.008072405,0.01544834,0.005123932,0.00001651457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03474851,0.001865717,0.9586539,0.0002138214,0.00007912896,0.00007312679,0.00002784886,0.0002923518,0.004045495],"genre_scores_gemma":[0.905731,0.00140472,0.08973659,0.00007668605,0.0001311163,0.0001453785,0.00005616585,0.00002580584,0.002692597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001273319,"threshold_uncertainty_score":0.004781961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164202761765357,"score_gpt":0.29804010018166,"score_spread":0.2763980725640064,"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."}}