{"id":"W2159753173","doi":"10.1109/glocom.2009.5425854","title":"Capacity of Wireless Multi-hop Networks Using Physical Carrier Sense and Transmit Power Control","year":2009,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transmitter power output; Power control; Computer science; Computer network; Sense (electronics); Wireless network; Topology (electrical circuits); Wireless; Hop (telecommunications); Carrier sense multiple access with collision avoidance; Network topology; Power (physics); Telecommunications; Electrical engineering; Engineering; Transmitter; Throughput; Channel (broadcasting)","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":[0.0001913505,0.0001725299,0.0003452048,0.00003337314,0.00008792307,0.00007594782,0.0001789396,0.00009550456,0.000005834193],"category_scores_gemma":[0.000003779722,0.0001390544,0.00009222033,0.0002014956,0.0000877079,0.0002704037,0.00002957874,0.0001761713,5.119208e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001317952,"about_ca_system_score_gemma":0.00002483934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005715269,"about_ca_topic_score_gemma":0.000008871864,"domain_scores_codex":[0.9988585,0.000100153,0.0002205466,0.0003222547,0.0001786416,0.0003199673],"domain_scores_gemma":[0.9992681,0.00009413698,0.0000814724,0.0003343814,0.00008370001,0.0001382687],"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":[0.0006654069,0.002724955,0.00812272,0.0001708646,0.0004477259,0.0003377331,0.01682281,0.2837694,0.08999815,0.2045297,0.001122791,0.3912877],"study_design_scores_gemma":[0.001141971,0.0001321096,0.003361469,0.00003393192,0.000009653692,0.00002013336,0.000009770109,0.9935608,0.001092425,0.0003681367,0.00008371947,0.0001858693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3172715,0.00002876811,0.6812364,0.0001401196,0.0000486074,0.001091394,0.00000256654,0.00004911215,0.0001315399],"genre_scores_gemma":[0.9896823,0.000002723319,0.009717896,0.0004606667,0.00008606413,0.0000230377,2.288029e-7,0.000007048249,0.00002007138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7097914,"threshold_uncertainty_score":0.5670474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056179971527379,"score_gpt":0.2597181236047242,"score_spread":0.2391563238894504,"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."}}