{"id":"W6901452116","doi":"10.60692/3h7yd-nq965","title":"Adversarial Bandit Approach for RIS-Aided OFDM Communication","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Overhead (engineering); Adversarial system; Key (lock); Beamforming; Variety (cybernetics); Wireless; Channel (broadcasting); Reflection (computer programming)","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":[0.0009747564,0.0006757195,0.0005931887,0.0002875386,0.0003265167,0.0006806809,0.0009593181,0.0009556295,0.003033907],"category_scores_gemma":[0.002139786,0.000236366,0.0003341339,0.0003043753,0.0009770762,0.0008015666,0.001165837,0.001383231,0.0005709556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006405914,"about_ca_system_score_gemma":0.0005526804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092514,"about_ca_topic_score_gemma":0.002238055,"domain_scores_codex":[0.9996188,0.0001397139,0.00001385667,0.00005767863,0.00009560119,0.00007437338],"domain_scores_gemma":[0.9990747,0.0006011593,0.00009619063,0.00006773893,0.0001225493,0.00003763001],"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":[0.0001003668,0.00003599704,0.0003576431,0.00003174895,0.00002376182,0.00005966872,0.00003739197,0.9495064,0.002271379,0.01513416,0.0009079683,0.03153349],"study_design_scores_gemma":[0.000001755382,0.00001082671,0.00002133703,0.000002429749,0.000002434007,0.000006808814,0.000002159197,0.9985539,0.0003645706,0.0009128552,0.000119017,0.000001897647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02159266,0.0002536513,0.973096,0.0002924252,0.00004279215,0.00002654948,0.00003947005,0.0003042806,0.004352236],"genre_scores_gemma":[0.9242314,0.0002168633,0.06766001,0.0002652064,0.00004728775,0.00006831199,0.00007646401,0.00003991681,0.007394548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003033907,"threshold_uncertainty_score":0.01014942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931757251609992,"score_gpt":0.1988150543902476,"score_spread":0.1694974818741477,"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."}}