{"id":"W3090939031","doi":"10.1109/tap.2020.3026871","title":"Arbitrary Near-Field Spatial Signal Processing","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Signal processing; Computer science; Near and far field; Electromagnetic radiation; Antenna (radio); Electromagnetic field; SIGNAL (programming language); Reconfigurability; Electronic engineering; Acoustics; Physics; Telecommunications; Optics; Engineering; Radar","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":[0.000196279,0.0004767165,0.0002632973,0.0002951706,0.0002991249,0.0006638963,0.0005208138,0.0005802515,0.003899923],"category_scores_gemma":[0.0005024074,0.0001601274,0.0003142824,0.0003658447,0.0006452682,0.0007675549,0.000780694,0.0005489251,0.001368678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003485584,"about_ca_system_score_gemma":0.0003058495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001757674,"about_ca_topic_score_gemma":0.0002653006,"domain_scores_codex":[0.9997481,0.00004351909,0.00001178163,0.00006394165,0.0001038226,0.0000288876],"domain_scores_gemma":[0.9997908,0.00005489185,0.00003379245,0.00004950248,0.00005586612,0.00001505783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002855673,0.0001180971,0.0007749261,0.0002250811,0.00005948263,0.0003673676,0.0002044863,0.04105171,0.4686762,0.3253874,0.002873996,0.1599758],"study_design_scores_gemma":[0.00004586092,0.0004324625,0.001113882,0.00004253059,0.00004348382,0.0009996252,0.0001346499,0.6335493,0.2431518,0.08593759,0.03447719,0.00007158024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03552523,0.0004223959,0.9319746,0.0003641551,0.0001299299,0.00005124962,0.00007846365,0.000361605,0.03109239],"genre_scores_gemma":[0.6272852,0.0009071294,0.3487474,0.0005917427,0.0002612327,0.0001490391,0.0002114092,0.00009233842,0.02175463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003899923,"threshold_uncertainty_score":0.01304656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426521324976279,"score_gpt":0.2073761256161442,"score_spread":0.1931109123663814,"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."}}