{"id":"W2098968166","doi":"10.1109/lcomm.2007.061887","title":"Comparison of symmetric and asymmetric routing for fixed two-hop cellular relaying network","year":2007,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Telecommunications link; Computer science; Computer network; Spectral efficiency; Routing (electronic design automation); Dynamic Source Routing; Hop (telecommunications); Cellular network; Routing protocol; Topology (electrical circuits); Mathematics; Combinatorics","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":[0.002043498,0.000176051,0.0003350469,0.0004648713,0.0008199316,0.0001172971,0.00250856,0.00006102144,0.000001241038],"category_scores_gemma":[0.0002714781,0.000191737,0.00009931333,0.002639647,0.0001692185,0.0002889732,0.0008219771,0.0003504062,0.000003989918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000823244,"about_ca_system_score_gemma":0.00002976138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000156143,"about_ca_topic_score_gemma":0.00004537525,"domain_scores_codex":[0.9981251,0.0002732541,0.0007148994,0.0002910663,0.0001995598,0.0003961418],"domain_scores_gemma":[0.9935052,0.003318267,0.0004097392,0.002449035,0.0002190512,0.00009871355],"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":[0.00003015019,0.0003947163,0.03863552,0.00006288894,0.000181381,0.00000165579,0.004159903,0.005975252,0.07257771,0.4117206,0.007354076,0.4589061],"study_design_scores_gemma":[0.002168738,0.0001704076,0.01128856,0.0002720265,0.00009199072,0.00001078614,0.0003468015,0.9407995,0.01869824,0.0009082677,0.02433364,0.0009110365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04221585,0.005933989,0.9457021,0.003834095,0.0002696961,0.0004386357,0.000001601117,0.0001265379,0.001477445],"genre_scores_gemma":[0.7950543,0.0003467966,0.2037073,0.000764379,0.00006120551,0.00002541845,0.00001025939,0.00001453199,0.00001578882],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9348242,"threshold_uncertainty_score":0.7818809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07953254613723926,"score_gpt":0.3476981624333589,"score_spread":0.2681656162961196,"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."}}