{"id":"W2090709584","doi":"10.1109/jsac.2012.120222","title":"A Distributed Multi-Service Resource Allocation Algorithm in Heterogeneous Wireless Access Medium","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Multihoming; Base station; Computer network; Wireless network; Resource allocation; Radio resource management; Wireless; Algorithm; Bandwidth (computing); Heterogeneous network; Distributed computing; Telecommunications; The Internet","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":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002081509,0.0003015486,0.0003797596,0.0008761748,0.0004746479,0.0005294643,0.01012918,0.0002246264,0.0000109935],"category_scores_gemma":[0.0003009498,0.0003081213,0.0000776845,0.00537176,0.0001242428,0.001525126,0.001394702,0.002330007,0.00004837163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008484905,"about_ca_system_score_gemma":0.0004077679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001973905,"about_ca_topic_score_gemma":0.001641094,"domain_scores_codex":[0.9944311,0.002548628,0.001004618,0.0003407638,0.0007568931,0.0009180107],"domain_scores_gemma":[0.9931328,0.001432642,0.0004571902,0.00371032,0.0008518996,0.0004151319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004113943,0.02879155,0.1278472,0.0001433144,0.0006530216,0.0001683441,0.02121394,0.1820224,0.007980604,0.01319364,0.01319074,0.6043839],"study_design_scores_gemma":[0.00171016,0.0000692154,0.06767354,0.0003545382,0.000009937125,0.0003188381,0.0001119872,0.9187505,0.001305306,0.0002540781,0.008921828,0.0005200821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1465683,0.003623233,0.8044815,0.04160332,0.0007354808,0.001565993,0.00004838796,0.0005175723,0.0008562626],"genre_scores_gemma":[0.9670189,0.001612327,0.03016264,0.0007095917,0.0001312498,0.0001877092,0.0001108151,0.00003958375,0.0000272042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8204506,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08049653532620309,"score_gpt":0.358224660653129,"score_spread":0.2777281253269259,"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."}}