{"id":"W1841089197","doi":"10.1109/aps.2001.959686","title":"Sidelobe apodization for high resolution of scattering centres in ISAR images","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence; University of Winnipeg; University of Manitoba","funders":"","keywords":"Apodization; Inverse synthetic aperture radar; Synthetic aperture radar; Computer science; Radar imaging; Scattering; Optics; Image formation; Fourier transform; Artificial intelligence; Radar; Computer vision; Resolution (logic); Image (mathematics); Physics; Telecommunications","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":[0.000041065,0.00006674842,0.00008801294,0.00009785816,0.00001133259,0.000006374998,0.00005911928,0.00002752587,0.00003666493],"category_scores_gemma":[0.0000321139,0.00007250808,0.00001655036,0.00009891632,0.00001680681,0.0001749843,0.00001053381,0.00003497009,0.000003033159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007484642,"about_ca_system_score_gemma":8.415352e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003687781,"about_ca_topic_score_gemma":0.0000144288,"domain_scores_codex":[0.9995714,0.000005229879,0.0001625699,0.00008287117,0.00004981933,0.0001281408],"domain_scores_gemma":[0.999808,0.00002665504,0.00001909406,0.0001104913,0.00002370098,0.00001203244],"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":[0.00001671192,0.00009256899,0.004637247,0.0005525028,0.00002313494,0.000003259932,0.0005574505,0.2308736,0.6603571,0.01056723,0.02855828,0.06376101],"study_design_scores_gemma":[0.0003187694,0.00001921928,0.001966416,0.00008601233,0.000004806792,0.000001442488,0.00003763353,0.3004389,0.6910583,0.004330643,0.0015582,0.000179673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02943981,0.0002794424,0.9668534,0.0002430147,0.00007201167,0.0002487283,0.00001187616,0.00067154,0.002180127],"genre_scores_gemma":[0.8570451,0.00006136588,0.1427594,0.00001727031,0.0000174611,0.00001531044,0.000006290203,0.00001805375,0.00005973356],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8276053,"threshold_uncertainty_score":0.2956794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282850787886892,"score_gpt":0.2295863304845439,"score_spread":0.216757822605675,"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."}}