{"id":"W2025517036","doi":"10.1002/sat.759","title":"A predictive demand assignment multiple access protocol for Internet access over broadband satellite networks","year":2003,"lang":"en","type":"article","venue":"International Journal of Satellite Communications and Networking","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Broadband; Communications satellite; Internet traffic; Internet access; The Internet; Wireless broadband; Network packet; Broadband networks; Internet layer; Resource Reservation Protocol; Bandwidth (computing); Internet Protocol; Jitter; Satellite; Wireless network; Telecommunications; Wireless","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001895756,0.000251378,0.0003390791,0.0003411588,0.0002928584,0.001720442,0.006912242,0.0001308621,0.00001293501],"category_scores_gemma":[0.00009781208,0.0002253149,0.0001700006,0.0004426181,0.0002186472,0.001872538,0.002155324,0.0005974257,8.333672e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090109,"about_ca_system_score_gemma":0.0001525378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001674493,"about_ca_topic_score_gemma":0.00004866924,"domain_scores_codex":[0.9970172,0.0006202876,0.001038057,0.0003211977,0.0006154344,0.0003878183],"domain_scores_gemma":[0.9946316,0.001946217,0.0009859012,0.001153064,0.001074538,0.0002086812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005442181,0.0007807052,0.07251969,0.00005147079,0.0007642634,0.0000146468,0.0009819571,0.004845527,0.00006867173,0.02733994,0.0007267363,0.8913622],"study_design_scores_gemma":[0.002604378,0.0001659296,0.004682845,0.0006597522,0.00001887354,0.00008977987,0.00002725645,0.4024461,0.0001337411,0.002513986,0.5863996,0.0002577492],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002456838,0.01251429,0.9680868,0.001236722,0.0006430921,0.01493444,0.000004941942,0.00005218727,0.002281868],"genre_scores_gemma":[0.8970789,0.05110972,0.035357,0.0005283111,0.0005585194,0.01516939,0.00002605625,0.00005019145,0.0001219197],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9327298,"threshold_uncertainty_score":0.9993159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011879058528215,"score_gpt":0.4062266334881193,"score_spread":0.3050387276352978,"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."}}