{"id":"W4385269925","doi":"10.1109/eucnc/6gsummit58263.2023.10188340","title":"Antenna Array Structures for Enhanced Cluster Index Modulation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Antenna array; Array gain; Interference (communication); Antenna (radio); Electronic engineering; Computer science; Array data structure; Directivity; Side lobe; Modulation (music); Bit error rate; Radiation pattern; Topology (electrical circuits); Engineering; Telecommunications; Electrical engineering; Physics; Acoustics; Channel (broadcasting)","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":[0.0002128443,0.0003218346,0.0002114635,0.0002344978,0.0001783919,0.0004090091,0.0004451874,0.0003183699,0.001349746],"category_scores_gemma":[0.0009754902,0.0001070784,0.0001596966,0.0004886222,0.0002484752,0.0004564821,0.0003266291,0.0003341269,0.0005408314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004606312,"about_ca_system_score_gemma":0.0001872815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000247855,"about_ca_topic_score_gemma":0.0003755369,"domain_scores_codex":[0.9997421,0.00008477493,0.00001044359,0.00004156744,0.00008382955,0.00003728993],"domain_scores_gemma":[0.9993918,0.0002458436,0.0001154562,0.00009558824,0.0001274171,0.00002385823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005839399,0.0001288602,0.002531226,0.0001980187,0.00009647117,0.000213768,0.0001935197,0.2290069,0.4555377,0.04446793,0.002283714,0.264758],"study_design_scores_gemma":[0.0000531348,0.0006116537,0.001829679,0.00002869394,0.00005492499,0.0003962776,0.00004756096,0.7682883,0.2058287,0.005652234,0.01716889,0.00004012723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1681799,0.001413844,0.8025129,0.0003916833,0.0001388502,0.00005094882,0.00007262346,0.001031716,0.02620758],"genre_scores_gemma":[0.879409,0.0003744853,0.1174273,0.0001498402,0.00006330429,0.00003904877,0.00006088588,0.0000407037,0.002435455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001349746,"threshold_uncertainty_score":0.00451535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04148273465705109,"score_gpt":0.268232073192852,"score_spread":0.2267493385358009,"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."}}