{"id":"W1604178018","doi":"10.1007/3-540-45508-6_5","title":"Is It Worth Involving Several Cooperating Agents for Multimedia User’s Admission in Cellular Networks?","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheme (mathematics); Mobile agent; Distributed computing; Process (computing); Computer network; Order (exchange); Cellular network; Resource (disambiguation); Multimedia; 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":[0.002724558,0.000649596,0.001002768,0.0002649578,0.001816613,0.002275972,0.002580732,0.003181886,0.00570396],"category_scores_gemma":[0.01053104,0.000445079,0.0005895115,0.0004409357,0.001658279,0.00703662,0.001766594,0.001668084,0.0008844155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006738452,"about_ca_system_score_gemma":0.001004742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001618292,"about_ca_topic_score_gemma":0.002473697,"domain_scores_codex":[0.9982332,0.0007240064,0.00007313112,0.0002047724,0.0003812677,0.0003835518],"domain_scores_gemma":[0.9941325,0.003257072,0.0004227436,0.0009035679,0.0005455831,0.0007385957],"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":[0.001987197,0.0009215311,0.015097,0.0004932356,0.0003838174,0.001926474,0.001724096,0.1030328,0.02180418,0.2528064,0.01095693,0.5888664],"study_design_scores_gemma":[0.0002797555,0.0008412578,0.005442297,0.0001809085,0.0004968268,0.002776273,0.003966269,0.6252825,0.01160194,0.316884,0.03211584,0.0001321237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3431321,0.004711328,0.5809082,0.01579676,0.0016822,0.0002228786,0.00003390282,0.0009832786,0.05252933],"genre_scores_gemma":[0.9414122,0.0006702681,0.0501001,0.000533792,0.0005315482,0.00005702976,0.00001811271,0.00004602845,0.006630983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00570396,"threshold_uncertainty_score":0.01908165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05594863552486935,"score_gpt":0.3119010046888973,"score_spread":0.255952369164028,"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."}}