{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001476521,0.0001756855,0.0001908375,0.0002964919,0.0005722333,0.0000879306,0.0003849067,0.0001228438,0.00001962303],"category_scores_gemma":[0.000005418141,0.0001914023,0.00005120672,0.0006973291,0.0001760519,0.0002079684,0.000006307573,0.0004371424,0.00002144058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044333,"about_ca_system_score_gemma":0.00003715415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001360494,"about_ca_topic_score_gemma":0.0003218139,"domain_scores_codex":[0.9991694,0.0001277632,0.0002944821,0.0001487495,0.0000772925,0.0001822936],"domain_scores_gemma":[0.9982672,0.0002387275,0.0000339389,0.001271539,0.000135269,0.00005337104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001982223,0.001031587,0.0001279171,0.0004184708,0.001146525,0.000004729673,0.004234115,0.1725936,0.1469548,0.01738095,0.003797347,0.6521118],"study_design_scores_gemma":[0.0004030948,0.0000130633,0.00007412832,0.0002293828,0.00005845409,0.000005052161,0.0004420865,0.9913427,0.005193085,0.000288461,0.001757939,0.0001925842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00598036,0.001020439,0.9872173,0.0006834097,0.0001362802,0.0002577103,0.00002376182,0.000596115,0.004084588],"genre_scores_gemma":[0.9718115,0.006938159,0.02016124,0.000149386,0.000003220071,0.00003997297,0.00003989062,0.00003025844,0.000826391],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9670561,"threshold_uncertainty_score":0.7805158,"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."}}