{"id":"W4413967252","doi":"10.1109/tmtt.2025.3602755","title":"High-Accuracy, Fast Calibration of Large-Scale Phased Antenna Arrays via Novel Constellation Modeling Method","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Constellation; Phased array; Antenna (radio); Electronic engineering; Scale (ratio); Computer science; Directional antenna; Remote sensing; Engineering; Physics; Telecommunications; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004263127,0.0001682116,0.0002151839,0.0002544468,0.0001169399,0.00002314088,0.0000637344,0.0001494626,0.00004917005],"category_scores_gemma":[0.000003747305,0.0001720371,0.00006679565,0.000236052,0.00005243648,0.0002071393,8.84981e-7,0.000169779,5.273635e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002502679,"about_ca_system_score_gemma":0.00001622363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008492096,"about_ca_topic_score_gemma":0.000006872486,"domain_scores_codex":[0.9992133,0.00009505444,0.000307385,0.000179625,0.00006379373,0.0001408283],"domain_scores_gemma":[0.9995361,0.0001650939,0.00004659587,0.0001570888,0.0000644815,0.00003065772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001254829,0.00007216652,6.409558e-7,0.00006292524,0.00004203131,2.327752e-7,0.0002077056,0.06576811,0.9120552,0.002066178,0.000008317063,0.01959102],"study_design_scores_gemma":[0.0002070482,0.00002593095,1.554363e-7,0.00006221058,0.00004047534,0.000003039607,0.0001183065,0.410519,0.5860151,0.002904588,0.00001175558,0.00009238903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004929048,0.00009178102,0.9934288,0.00001933813,0.0001215428,0.0002971222,0.00005714175,0.0004138376,0.0006414342],"genre_scores_gemma":[0.8589193,0.0002095253,0.1407011,0.00005654009,0.00001160521,0.00001339581,0.00001252619,0.00002084987,0.00005515978],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8539903,"threshold_uncertainty_score":0.7015471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00929325518607895,"score_gpt":0.2476697080425922,"score_spread":0.2383764528565133,"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."}}