{"id":"W4401608911","doi":"10.1109/icasspw62465.2024.10627273","title":"CRB Optimization for Integrated Sensing and Communication Systems Using Hybrid Linear-Nonlinear Precoding","year":2024,"lang":"en","type":"article","venue":"","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Nonlinear system; Computer science; Zero-forcing precoding; Electronic engineering; Control theory (sociology); Telecommunications; Engineering; MIMO; Artificial intelligence; Physics","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":[0.0005741318,0.0008450187,0.0005697586,0.0002581843,0.000258709,0.0006442874,0.0006320164,0.0005474602,0.001322088],"category_scores_gemma":[0.001648504,0.0003294051,0.0003366866,0.0005566481,0.0006408432,0.0007903817,0.0007618646,0.000841266,0.000444839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004584757,"about_ca_system_score_gemma":0.0008410015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002059594,"about_ca_topic_score_gemma":0.002574705,"domain_scores_codex":[0.9994499,0.0001518276,0.00002137861,0.0001027005,0.00022878,0.00004544805],"domain_scores_gemma":[0.99946,0.0002759255,0.00007702022,0.00004848759,0.0001212832,0.00001731373],"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":[0.0001041996,0.000052459,0.0003895967,0.0001662127,0.00004596641,0.0000858877,0.0001093712,0.8038743,0.01511634,0.03097082,0.001511474,0.1475734],"study_design_scores_gemma":[0.000008573179,0.00004620697,0.0000365339,0.000004898804,0.000004189769,0.00002252687,0.000006433309,0.9959675,0.001090939,0.002271995,0.000535872,0.00000430759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002433894,0.0000946435,0.9961499,0.00004659105,0.00001144919,0.00001291769,0.000009064558,0.00004882882,0.001192847],"genre_scores_gemma":[0.4795603,0.0004287436,0.5147724,0.0001757313,0.00007958963,0.0001886406,0.00009760607,0.00005824113,0.004638685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002059594,"threshold_uncertainty_score":0.004422843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264611458439799,"score_gpt":0.2589879523994768,"score_spread":0.2325268065554968,"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."}}