{"id":"W4402834002","doi":"10.1109/vtc2024-spring62846.2024.10682823","title":"On the Resource Allocation and User Association in Future Multi-Band Wireless Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Resource allocation; Association (psychology); Wireless; Wireless network; Computer network; Resource management (computing); Resource (disambiguation); Telecommunications; Psychology","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":[0.000179625,0.00009964534,0.00007501426,0.00005154656,0.00003899628,0.00007056652,0.00004713752,0.0001174997,0.00001632157],"category_scores_gemma":[0.0000135259,0.00007497819,0.00001422736,0.0002873635,0.000007333852,0.0001220801,0.00000805755,0.0002357514,0.000006576443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156119,"about_ca_system_score_gemma":0.000003543294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003090698,"about_ca_topic_score_gemma":0.00009934307,"domain_scores_codex":[0.9994656,0.00003320676,0.00012481,0.0001348631,0.00009386428,0.000147642],"domain_scores_gemma":[0.9996175,0.0002352877,0.00001481898,0.00009860344,0.00001345345,0.00002031862],"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":[0.000003123172,0.000004748702,0.0004282974,0.00001215363,0.00001186089,0.000001041033,0.0001513696,0.9804763,0.00005427272,0.006668625,0.005006584,0.007181614],"study_design_scores_gemma":[0.0001194712,0.000005249481,0.001674129,0.00006000384,0.00000462112,4.887821e-7,0.00007575335,0.9923342,0.0001267287,0.00006097136,0.005445653,0.00009274347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1619609,0.002148394,0.8289093,0.002207859,0.0007198898,0.000463659,0.000002478608,0.0007469109,0.002840626],"genre_scores_gemma":[0.9976971,0.0005939343,0.0005819203,0.0001376429,0.0002368748,0.00002852172,0.00001796817,0.00003406043,0.0006720274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8357361,"threshold_uncertainty_score":0.3057522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004177215949410097,"score_gpt":0.193121265668399,"score_spread":0.1889440497189889,"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."}}