{"id":"W4412837196","doi":"10.1109/tvt.2025.3594998","title":"Fluid Antenna-Assisted Uplink NOMA Networks Under Imperfect SIC","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Telecommunications link; Noma; Imperfect; Computer science; Computer network; Antenna (radio); Electronic engineering; Telecommunications; Engineering","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":[0.0009553718,0.0007400742,0.0009558006,0.0003103672,0.000477114,0.0009098341,0.0007613077,0.0007805962,0.000511074],"category_scores_gemma":[0.003578916,0.0004310622,0.000375038,0.0004403346,0.001486691,0.001009134,0.001325844,0.0008259837,0.0001517316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009377014,"about_ca_system_score_gemma":0.0008372835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003346867,"about_ca_topic_score_gemma":0.00295967,"domain_scores_codex":[0.9992299,0.0003227498,0.00001880348,0.000085532,0.0001533603,0.0001897265],"domain_scores_gemma":[0.9980945,0.001110242,0.0003325975,0.0001285927,0.0002155847,0.0001185246],"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":[0.00004361489,0.00001157793,0.0003169611,0.00001746654,0.00001523571,0.00009925458,0.00003390983,0.9836571,0.0009416922,0.0103001,0.0002021141,0.004361028],"study_design_scores_gemma":[0.000002983722,0.00001596468,0.00005768301,0.000001831439,0.00000303168,0.00001498899,0.000007000459,0.9971895,0.0001652623,0.00244996,0.00008818512,0.000003654401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1269958,0.0005562375,0.8634964,0.0003938627,0.00009578088,0.00003528885,0.00006757265,0.0002859407,0.008073078],"genre_scores_gemma":[0.9888157,0.0001081123,0.009718273,0.00006290235,0.00001936778,0.00002023556,0.00001477722,0.000008800173,0.001231874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003346867,"threshold_uncertainty_score":0.006803513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007434574946887819,"score_gpt":0.2290191261366383,"score_spread":0.2215845511897505,"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."}}