{"id":"W2165711042","doi":"10.1109/icc.2005.1494665","title":"An adaptive MAC polling protocol for ethernet passive optical networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Polling; Computer network; Computer science; Network packet; Passive optical network; Media access control; Quality of service; Real-time computing; Wireless; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001092942,0.0001291682,0.0001425544,0.00002762269,0.00005078114,0.00002610365,0.0002408702,0.0000889107,0.000116578],"category_scores_gemma":[0.000008562844,0.0001193422,0.00004368275,0.00007544908,0.00002177458,0.0001650837,0.00002277704,0.0001588989,0.00002246919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110086,"about_ca_system_score_gemma":0.00001304638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005338606,"about_ca_topic_score_gemma":0.00005554081,"domain_scores_codex":[0.9992748,0.00002328346,0.0002426272,0.0001393072,0.00008290501,0.0002370739],"domain_scores_gemma":[0.9992383,0.0001361673,0.00003246268,0.0004429661,0.0000566017,0.00009352273],"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":[0.00005045725,0.00002947247,0.000009584954,0.00001476914,0.00002550016,2.660483e-7,0.0001918356,0.9531013,0.0006547704,0.01288415,0.0006054074,0.03243247],"study_design_scores_gemma":[0.0005293906,0.00006368594,0.00001576234,0.00002204254,0.000002965908,0.000002606974,0.000143468,0.9012921,0.003709087,0.0001341155,0.09393117,0.0001536282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001150394,0.0000170738,0.9217692,0.00006121181,0.00003524463,0.06477571,0.000003828783,0.0004452865,0.01277739],"genre_scores_gemma":[0.4924622,0.000001538034,0.1456526,0.00007931262,0.0003019209,0.3611133,0.000006835673,0.00006440175,0.000317946],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7761166,"threshold_uncertainty_score":0.4866633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142121278103388,"score_gpt":0.3258695731065799,"score_spread":0.2944483603255461,"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."}}