{"id":"W2147037449","doi":"10.1109/icc.2009.5199529","title":"Throughput/Reliability Tradeoffs in Spread Spectrum Multi-Hop Ad-Hoc Wireless Networks with Multi-Packet Detection","year":2009,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Spread spectrum; Network packet; Throughput; Code division multiple access; Wireless network; Node (physics); Transmission delay; Wireless; Distributed computing; Telecommunications; Engineering","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":[0.003012034,0.0008647224,0.0005435365,0.00084509,0.0005992859,0.001150726,0.0006748523,0.001062007,0.0006839109],"category_scores_gemma":[0.01398494,0.0004417803,0.0002593891,0.0008415137,0.001303228,0.002004569,0.0006460724,0.0006180382,0.0001432018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204533,"about_ca_system_score_gemma":0.000358902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008838073,"about_ca_topic_score_gemma":0.0009102676,"domain_scores_codex":[0.9984105,0.0007991812,0.0000418713,0.0001010893,0.0003905201,0.0002568911],"domain_scores_gemma":[0.9873399,0.0107623,0.0006591942,0.0003307292,0.0007530582,0.0001548542],"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":[0.0003689303,0.00009010555,0.003310652,0.000175821,0.00006839035,0.0005061581,0.0003651514,0.9254292,0.01658549,0.02654401,0.0005471494,0.02600892],"study_design_scores_gemma":[0.00002917163,0.0003334508,0.001329751,0.00002430446,0.00005745312,0.0004102089,0.000163796,0.9678944,0.006597708,0.02273271,0.0004007286,0.0000263993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6676577,0.004135543,0.3187595,0.0008983462,0.00005330264,0.00009014009,0.00008134025,0.00036332,0.007960802],"genre_scores_gemma":[0.9904682,0.0006018103,0.008264448,0.0000309847,0.00003621771,0.00003042768,0.00001354906,0.00002138616,0.0005329344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003012034,"threshold_uncertainty_score":0.01592934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289519615183326,"score_gpt":0.2875262883992251,"score_spread":0.2585743268808924,"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."}}