{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005159559,0.0001136356,0.00014361,0.00008378527,0.0001406197,0.00004579748,0.0009268596,0.00007025123,0.00004927959],"category_scores_gemma":[0.00003822628,0.0001047251,0.00006632367,0.0001969492,0.00005375588,0.00004714123,0.0001155684,0.0001532309,0.000008595877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003815232,"about_ca_system_score_gemma":0.00001210899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001401156,"about_ca_topic_score_gemma":0.000197042,"domain_scores_codex":[0.9992519,0.00001415767,0.0002993597,0.00009079316,0.00007056916,0.0002732421],"domain_scores_gemma":[0.9981081,0.000517249,0.00002956661,0.001143612,0.0001007008,0.0001007191],"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":[0.0001112312,0.0005183175,0.00195183,0.00005810048,0.0002583287,0.000001464573,0.00028743,0.9108713,0.00162293,0.02127428,0.03710035,0.02594444],"study_design_scores_gemma":[0.000840768,0.0000161352,0.00303558,0.00001089148,0.00002262435,0.000001662075,0.00002532755,0.9109397,0.0002632499,0.00006200425,0.08463334,0.0001487444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005259677,0.002481559,0.9724989,0.0008260297,0.0003160869,0.0004332184,0.00001780998,0.0003580588,0.01780866],"genre_scores_gemma":[0.9921172,0.0002062156,0.007030033,0.0002339225,0.00009194308,0.00005610359,0.00005171575,0.00002754219,0.0001853238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9868575,"threshold_uncertainty_score":0.4270565,"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."}}