{"id":"W2151430944","doi":"10.1109/jsac.2012.121109","title":"Distributed Robust Scheduling and Power Control For Cognitive Spatial-Reuse TDMA Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Time division multiple access; Quality of service; Cognitive radio; Power control; Scheduling (production processes); Computer network; Wireless ad hoc network; Distributed computing; Mathematical optimization; Telecommunications link; Wireless; Power (physics); Telecommunications; Mathematics","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":[0.0009504175,0.0008776285,0.0006867289,0.0003516092,0.0003746997,0.0007941698,0.0009311453,0.0005767483,0.0008467944],"category_scores_gemma":[0.002328895,0.0003455542,0.0004000867,0.0005799729,0.0009394698,0.0006175808,0.000722439,0.0006915118,0.0001603107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062296,"about_ca_system_score_gemma":0.001211254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004467447,"about_ca_topic_score_gemma":0.00356308,"domain_scores_codex":[0.9994323,0.0002023021,0.00001798687,0.0001033351,0.0001536457,0.00009038292],"domain_scores_gemma":[0.9988641,0.0007185941,0.0001763978,0.00006577891,0.0001214666,0.0000537545],"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":[0.00005022865,0.00003246954,0.0001248027,0.0000285886,0.00001647484,0.00003597665,0.00003325237,0.9710419,0.001816764,0.0104193,0.0002468606,0.01615344],"study_design_scores_gemma":[0.000009747085,0.00001708782,0.00002061774,7.550148e-7,0.00000252896,0.000004620582,0.000003456764,0.9969554,0.0003263296,0.002577852,0.00007948942,0.000002141036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01186666,0.0001132488,0.9868776,0.00006997047,0.00001761083,0.00002065812,0.00001356512,0.00008131431,0.0009393502],"genre_scores_gemma":[0.8514147,0.000209546,0.1464486,0.00007403372,0.0000582013,0.0001343862,0.00004374939,0.00003708193,0.001579769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004467447,"threshold_uncertainty_score":0.00888288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116934224406296,"score_gpt":0.306297569831109,"score_spread":0.255128227587046,"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."}}