{"id":"W2165105162","doi":"10.1109/wowmom.2008.4594852","title":"A novel physical carrier sensing scheme for enhancing spatial reuse in multihop wireless networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Overhead (engineering); Network packet; Throughput; Wireless ad hoc network; Transmission (telecommunications); Hidden node problem; Node (physics); Reuse; Scheme (mathematics); Physical layer; Wireless; Distributed computing; Carrier sense multiple access with collision avoidance; Wireless network; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002497752,0.000204455,0.0003170301,0.00006746357,0.0001951033,0.00008531381,0.0006136321,0.0001155186,0.000002395641],"category_scores_gemma":[0.00004985094,0.0001852985,0.0001098675,0.0003651998,0.0000522743,0.0003095338,0.0003449454,0.000243196,0.000003886251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005653785,"about_ca_system_score_gemma":0.00009967855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004792807,"about_ca_topic_score_gemma":0.0008085531,"domain_scores_codex":[0.9983842,0.00003993518,0.000303445,0.0005091678,0.0002105247,0.0005527687],"domain_scores_gemma":[0.9987428,0.0002786427,0.00008888257,0.000674216,0.0000941688,0.0001213023],"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":[0.0006092921,0.001784524,0.006247922,0.000255623,0.0001693043,0.0004192254,0.01745773,0.2054186,0.1690479,0.02900582,0.00832128,0.5612628],"study_design_scores_gemma":[0.001089796,0.00006178024,0.000485512,0.0000734112,0.000001665141,0.00002390504,0.00001234653,0.990757,0.006328693,0.0001488803,0.0007509711,0.0002659867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1205053,0.00000877711,0.8764673,0.0001918372,0.0001726252,0.002416869,0.000001728526,0.0001211327,0.0001144542],"genre_scores_gemma":[0.8585818,0.000002455604,0.139975,0.0002720125,0.0006486496,0.0004034913,0.000002538081,0.00002036663,0.00009367961],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7853385,"threshold_uncertainty_score":0.7556255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666451948825406,"score_gpt":0.269952148788707,"score_spread":0.243287629300453,"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."}}