{"id":"W2111586256","doi":"10.1109/tmc.2010.41","title":"Channel Assignment for Multihop Cellular Networks: Minimum Delay","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Cellular network; Network packet; Code division multiple access; Benchmark (surveying); Heuristic; Channel (broadcasting); Duplex (building); Throughput; Transmission delay; Wireless; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004203612,0.0007040412,0.000454677,0.000442521,0.0004877783,0.0007270509,0.0007619864,0.0006221228,0.002519464],"category_scores_gemma":[0.001919032,0.0001975026,0.0001966801,0.0008216595,0.0005041483,0.0007700986,0.0006584056,0.0006433912,0.0004342874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009214656,"about_ca_system_score_gemma":0.001007245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457415,"about_ca_topic_score_gemma":0.00196825,"domain_scores_codex":[0.9994658,0.0001674128,0.0000111363,0.00007993299,0.0001792628,0.00009651668],"domain_scores_gemma":[0.9993616,0.0003070919,0.0001190093,0.00005547472,0.0001010527,0.00005585492],"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":[0.0001193572,0.00008367628,0.0004319023,0.0002357232,0.00002618307,0.00006366508,0.00004984431,0.8513532,0.005818625,0.04284251,0.004837208,0.09413812],"study_design_scores_gemma":[0.00002681208,0.00011152,0.0001774463,0.00001606221,0.00001246434,0.00008422699,0.00002621355,0.9739218,0.002555334,0.01914928,0.003903521,0.00001527374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01962532,0.00115756,0.9734438,0.0002936281,0.0001481698,0.00007744141,0.0001023413,0.0001942959,0.004957501],"genre_scores_gemma":[0.7629431,0.001711829,0.2287649,0.0002220588,0.0002403668,0.0003111519,0.0001938328,0.0001118108,0.005500941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002519464,"threshold_uncertainty_score":0.008428454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007393418480356151,"score_gpt":0.2185621015364186,"score_spread":0.2111686830560624,"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."}}