{"id":"W4404847697","doi":"10.23919/jcc.fa.2024-0216.202411","title":"Multilayer satellite network collaborative mobile edge caching: A GCN-based multi-agent approach","year":2024,"lang":"en","type":"article","venue":"China Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Satellite; Computer network; Distributed computing; 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":[0.0005755705,0.0002482659,0.0002351729,0.0001485835,0.0007392084,0.0005899631,0.002610672,0.00009064213,0.000005909817],"category_scores_gemma":[0.00003997977,0.0002278339,0.0001743629,0.001101399,0.0001420001,0.0003812662,0.0007994315,0.0005996858,0.0001362278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370298,"about_ca_system_score_gemma":0.000258963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001429828,"about_ca_topic_score_gemma":0.00006486691,"domain_scores_codex":[0.9981056,0.0004602465,0.0003442175,0.0005084653,0.0002222873,0.0003591369],"domain_scores_gemma":[0.9962096,0.0003912709,0.00008187973,0.003047969,0.000126589,0.0001427396],"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":[0.00005735141,0.004665375,0.003598018,0.0004169427,0.0008620467,0.00007828152,0.04453534,0.2692028,0.005934825,0.2959791,0.01885131,0.3558187],"study_design_scores_gemma":[0.000265363,0.00004186797,0.001483193,0.0000950754,0.00002567059,0.000006618066,0.0001294595,0.9252132,0.00005281078,0.0002086227,0.07220171,0.0002764316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007385996,0.04390694,0.9330552,0.002519833,0.0008638506,0.001059048,0.00005217595,0.001417392,0.009739523],"genre_scores_gemma":[0.9025886,0.0006180477,0.09498768,0.0003351881,0.00007822995,0.0003769109,0.00008342545,0.00002739592,0.0009045302],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8952026,"threshold_uncertainty_score":0.9290795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04052656429907169,"score_gpt":0.2940110156944039,"score_spread":0.2534844513953322,"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."}}