{"id":"W2133687145","doi":"10.1109/aps.1994.408094","title":"Generalized multiple scatterer algorithm for ISAR phase compensation","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":"Université Laval","funders":"","keywords":"Inverse synthetic aperture radar; Phase compensation; Computer science; Compensation (psychology); Phase (matter); Algorithm; Radar imaging; Radar; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006601822,0.0006823117,0.0006346983,0.000547002,0.0002873492,0.0004320774,0.000646707,0.000930208,0.002453806],"category_scores_gemma":[0.0009940161,0.0002383235,0.0004524823,0.0007834828,0.0003858614,0.0009866116,0.000530366,0.0009753885,0.001512202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346682,"about_ca_system_score_gemma":0.0006210832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005284441,"about_ca_topic_score_gemma":0.001092322,"domain_scores_codex":[0.9995589,0.0001637875,0.00001648757,0.00006962662,0.0001707616,0.00002053816],"domain_scores_gemma":[0.9997371,0.00006266841,0.00003350772,0.00007183029,0.00008513617,0.000009766855],"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":[0.0001980916,0.00004877506,0.0003471397,0.0001555098,0.0000820088,0.0001013483,0.0001326204,0.1186081,0.06072155,0.05636558,0.004082739,0.7591566],"study_design_scores_gemma":[0.00006827875,0.0001632721,0.0005081141,0.00002606396,0.00002910136,0.0003255086,0.00002584424,0.9099075,0.0259652,0.02841291,0.03451201,0.00005625045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003129237,0.0002932691,0.9952988,0.00007002787,0.00004078228,0.00001628497,0.00001901067,0.0004354304,0.0006971808],"genre_scores_gemma":[0.03442843,0.0003117633,0.962163,0.00006566181,0.00004306495,0.00004811096,0.0001193885,0.00008760208,0.002732857],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002453806,"threshold_uncertainty_score":0.008208811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384822359319792,"score_gpt":0.2836636337748651,"score_spread":0.2498154101816672,"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."}}