{"id":"W2193897973","doi":"10.1109/mwc.2016.7498076","title":"Multi-armed bandits with application to 5G small cells","year":2016,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Selfishness; Cellular network; Wireless; Resource allocation; Wireless network; Distributed computing; Computer network; Next-generation network; Resource (disambiguation); Small cell; Mobile computing; Telecommunications; The Internet; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001209721,0.0002033214,0.0003040438,0.0003894044,0.0005198455,0.000157033,0.004456999,0.0000933327,0.00007356492],"category_scores_gemma":[0.0004649297,0.0001212935,0.00007138021,0.001477796,0.0004455133,0.0003462296,0.0004154976,0.0002330353,0.002871509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015799,"about_ca_system_score_gemma":0.0001530259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006174629,"about_ca_topic_score_gemma":0.001516998,"domain_scores_codex":[0.9969379,0.0003771835,0.0005800828,0.0006200745,0.001026674,0.0004581245],"domain_scores_gemma":[0.9903153,0.002988117,0.0002314924,0.005190343,0.0009400799,0.0003346775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001232576,0.0007229606,0.002937045,0.000006681001,0.00005547652,0.000004756233,0.001255338,0.002248671,0.373149,0.0009417069,0.003782941,0.6147721],"study_design_scores_gemma":[0.007353257,0.0006661505,0.05139161,0.0003937167,0.00006349689,0.00004545006,0.002127161,0.08326544,0.3826169,0.007227579,0.4624815,0.002367732],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04498994,0.00006580862,0.9470714,0.005976242,0.0001209425,0.0009140387,0.00009021087,0.0001380322,0.0006333281],"genre_scores_gemma":[0.9354277,0.0001382227,0.05918308,0.0001817127,0.0000588285,0.0005996645,0.0000078664,0.00003740556,0.004365517],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8904378,"threshold_uncertainty_score":0.9979049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564926192755867,"score_gpt":0.4209362025593321,"score_spread":0.2644435832837454,"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."}}