{"id":"W2140279669","doi":"10.1109/pimrc.2008.4699898","title":"Synergetic cooperation in a distributed base station system","year":2008,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Base station; Computer network; Emulation; Protocol (science); Context (archaeology); Wireless network; Quality of service; Resource (disambiguation); Distributed computing; Spectral efficiency; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007622053,0.000338935,0.0004999185,0.0003967221,0.0005307483,0.000902322,0.0008815747,0.0008477714,0.001799593],"category_scores_gemma":[0.001113011,0.0002672001,0.0003253611,0.0003971677,0.001026254,0.0008865175,0.001216327,0.0005537421,0.0004767237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000559033,"about_ca_system_score_gemma":0.0006387347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181055,"about_ca_topic_score_gemma":0.0008598329,"domain_scores_codex":[0.9993836,0.0002392451,0.00001913002,0.00009722088,0.0001936199,0.00006714062],"domain_scores_gemma":[0.9993066,0.0002913451,0.00008809684,0.0001066411,0.0001375385,0.0000696623],"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":[0.0002299263,0.0001141555,0.00106879,0.00008129806,0.000081911,0.0006844567,0.0003939897,0.802604,0.03279493,0.1391469,0.0008584358,0.02194117],"study_design_scores_gemma":[0.00006360817,0.0001392799,0.0002371221,0.000006779549,0.00002106927,0.0001094602,0.00004978926,0.9758479,0.001832981,0.01995515,0.001718971,0.0000179014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2490722,0.0003372969,0.7254488,0.0004957854,0.00007684219,0.00009972637,0.00005989934,0.0003608302,0.02404856],"genre_scores_gemma":[0.9657217,0.0001570256,0.02951023,0.00004793999,0.00002583841,0.0000882831,0.0000258498,0.000008304695,0.004414917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001799593,"threshold_uncertainty_score":0.006020188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03656903910802226,"score_gpt":0.2505629073862657,"score_spread":0.2139938682782435,"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."}}