{"id":"W4399800778","doi":"10.1109/jiot.2024.3416951","title":"Performance Analysis of NOMA-Enabled Active RIS-Aided MIMO Heterogeneous IoT Networks With Integrated Sensing and Communication","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Science and Technology Council; Canada Excellence Research Chairs, Government of Canada","keywords":"Noma; Computer science; MIMO; Computer network; Throughput; Telecommunications; Computer architecture; Distributed computing; Wireless; Beamforming; Telecommunications link","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":[],"consensus_categories":[],"category_scores_codex":[0.0002187576,0.0001610809,0.0003744776,0.0005291266,0.00004723746,0.00006765619,0.0003931939,0.0001022855,0.00001046613],"category_scores_gemma":[0.0000261306,0.0001328938,0.00008605162,0.0006417723,0.0001676171,0.0003082329,0.00007035534,0.0007197476,5.322479e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168107,"about_ca_system_score_gemma":0.0000152432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006173797,"about_ca_topic_score_gemma":0.00003478524,"domain_scores_codex":[0.9990991,0.00005084934,0.0004416461,0.0001127043,0.0001429513,0.0001527421],"domain_scores_gemma":[0.999012,0.000172346,0.0002204904,0.000374388,0.000183999,0.00003679946],"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":[0.00008559787,0.00001400341,0.0005602065,0.00007756889,0.002047318,0.000009449133,0.002084109,0.9115334,0.008869251,0.00002364362,0.00005417131,0.07464129],"study_design_scores_gemma":[0.000137509,0.00007232968,0.0003498264,0.0006518016,0.0002217564,0.0001308801,0.0003270993,0.9109734,0.08689144,0.0000585177,0.00006655871,0.0001189351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7898879,0.002051365,0.207623,0.00003756995,0.00006605905,0.00005366702,0.000001798285,0.0001662441,0.0001123566],"genre_scores_gemma":[0.9823695,0.00196765,0.01558622,0.00001077927,0.000008278893,0.000001816483,0.000005328027,0.00002838997,0.0000219702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1924817,"threshold_uncertainty_score":0.5419251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008820260469973692,"score_gpt":0.2223812744833852,"score_spread":0.2135610140134115,"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."}}