{"id":"W4406321301","doi":"10.1109/twc.2025.3525631","title":"Movable Antenna Enabled Integrated Sensing and Communication","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Key Research and Development Program of Heilongjiang; Natural Science Foundation of Shenzhen City","keywords":"Computer science; Telecommunications; Antenna (radio); Wireless; Electronic engineering; 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":[0.000200072,0.000545345,0.0004548925,0.0002218062,0.0001932756,0.0004974102,0.0007070327,0.0007345361,0.000862854],"category_scores_gemma":[0.0004119714,0.0001863329,0.0003578711,0.0003076058,0.0004022045,0.0007525464,0.0006085432,0.0004466463,0.0003099121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003502477,"about_ca_system_score_gemma":0.0002686408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006515501,"about_ca_topic_score_gemma":0.000726965,"domain_scores_codex":[0.9996707,0.00006361568,0.00001170799,0.00008478949,0.0001189735,0.00005021241],"domain_scores_gemma":[0.9997674,0.00008006402,0.00004860173,0.00004053239,0.0000470625,0.00001631776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003067647,0.0001100956,0.001955887,0.0002852679,0.0001396337,0.0006706238,0.0002032513,0.4798976,0.2853938,0.02672443,0.00138427,0.2029283],"study_design_scores_gemma":[0.00001311159,0.0002396022,0.0004834447,0.000008884339,0.00003086196,0.0002719708,0.00003558796,0.9646744,0.02815659,0.002369961,0.003693648,0.00002197119],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09308501,0.001148261,0.8971355,0.0002244297,0.0001092617,0.00003821365,0.00004510237,0.0005839447,0.007630201],"genre_scores_gemma":[0.883271,0.0003277421,0.113236,0.0001482096,0.00003850993,0.00005032169,0.00004229816,0.00002182328,0.002864109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000862854,"threshold_uncertainty_score":0.002886593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424496433095508,"score_gpt":0.231080498377634,"score_spread":0.2168355340466789,"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."}}