{"id":"W4416286486","doi":"10.1109/jiot.2025.3633951","title":"Hierarchical Resource Optimization in Multi-UAV RIS-Assisted ISAC Networks With Uplink NOMA","year":2025,"lang":"","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Software deployment; Cluster analysis; Resource allocation; Resource management (computing); Noma; Optimization problem; Cellular network","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000709164,0.000489473,0.0007799373,0.001079341,0.0001397139,0.000203515,0.00191269,0.0006120645,0.00005966565],"category_scores_gemma":[0.0003192452,0.0004788419,0.0001903527,0.001063408,0.0004471687,0.0006763613,0.000388394,0.004106067,0.000003318258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006086919,"about_ca_system_score_gemma":0.0001046632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005576135,"about_ca_topic_score_gemma":0.00002613954,"domain_scores_codex":[0.9967998,0.0002219042,0.001643515,0.0003874816,0.0003401265,0.0006071628],"domain_scores_gemma":[0.9974788,0.0004604725,0.0007933435,0.0008691159,0.0002753995,0.0001228843],"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":[0.0003648759,0.0002241517,0.001349255,0.0001075538,0.0002637296,0.00004358614,0.001114166,0.9430119,0.0003611009,0.0003213462,0.0004468186,0.05239154],"study_design_scores_gemma":[0.002307257,0.0001865725,0.0009735416,0.00386626,0.00005558147,0.0001512547,0.0004750049,0.9861836,0.004326326,0.0002316019,0.0008442242,0.0003987553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02983925,0.004264591,0.9628195,0.001005269,0.0006370219,0.0002908722,0.000001827236,0.0002440158,0.0008977189],"genre_scores_gemma":[0.7730018,0.001752347,0.2244672,0.0001175392,0.00004078105,0.00001466998,0.000005030392,0.00006729602,0.000533324],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7431626,"threshold_uncertainty_score":0.9997663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595227138043246,"score_gpt":0.2616004451444232,"score_spread":0.2456481737639908,"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."}}