{"id":"W2887322248","doi":"10.23919/acc.2018.8431490","title":"Joint Transmission Power Optimization and Connectivity Control in Asymmetric Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Concordia University","funders":"","keywords":"Mathematical optimization; Optimization problem; Subgradient method; Convex optimization; Convergence (economics); Interior point method; Computer science; Mathematics; Transmission (telecommunications); Regular polygon","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":[0.0005969808,0.0006771029,0.0006828018,0.0004762818,0.0004429477,0.0008188385,0.0008313892,0.0005924425,0.00140543],"category_scores_gemma":[0.001599906,0.0002798113,0.0003443612,0.0007738253,0.0009372223,0.001518792,0.0008766689,0.0007213964,0.0001323241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007322154,"about_ca_system_score_gemma":0.0006342034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672203,"about_ca_topic_score_gemma":0.002191154,"domain_scores_codex":[0.9995808,0.0001617374,0.00001397672,0.00009379334,0.0001018746,0.00004789385],"domain_scores_gemma":[0.9993584,0.0003518737,0.0001382628,0.00004525649,0.00007341498,0.00003278046],"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":[0.00002826112,0.00001492193,0.0001677906,0.00003143454,0.00001127523,0.00006442664,0.00003216977,0.946922,0.001522032,0.03629481,0.0002489779,0.01466184],"study_design_scores_gemma":[0.000005775937,0.0000187117,0.00005359737,0.000002289034,0.000004222982,0.00001735125,0.00000915035,0.9858443,0.0003737113,0.01331004,0.0003575448,0.000003376057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02930953,0.0001864012,0.9668405,0.0001349255,0.00001781346,0.00001758275,0.00002444378,0.00007153483,0.003397242],"genre_scores_gemma":[0.9384675,0.0003115806,0.05843956,0.00003197393,0.00003516502,0.00006806567,0.00005255491,0.00004014676,0.002553497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002672203,"threshold_uncertainty_score":0.005313277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009350207553714414,"score_gpt":0.2139822729888684,"score_spread":0.204632065435154,"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."}}