{"id":"W2356183317","doi":"","title":"The Realizotion of Image Formation Algorithm for High Resolution Spaceborne Spotlight SAR","year":2005,"lang":"en","type":"article","venue":"Journal of Astronautics","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Chirp; Synthetic aperture radar; Computer science; Radar imaging; Remote sensing; Image formation; Algorithm; Computer vision; Doppler effect; High resolution; Inverse synthetic aperture radar; Artificial intelligence; Image (mathematics); Radar; Geology; Optics; Physics; Telecommunications; Laser","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":[0.0003609263,0.00006610757,0.000141903,0.00006071272,0.00004637055,0.0000143891,0.0000980438,0.00007263786,0.000003541423],"category_scores_gemma":[0.00003216718,0.00004610984,0.0000636297,0.000068471,0.00003441132,0.0001815099,0.000009140699,0.0001307057,0.00000253817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030931,"about_ca_system_score_gemma":0.00001054995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001885621,"about_ca_topic_score_gemma":0.000007223991,"domain_scores_codex":[0.9992309,0.00001332281,0.000439113,0.00003180312,0.0001379519,0.000146867],"domain_scores_gemma":[0.9994766,0.00005383001,0.0001918196,0.00009364765,0.0001519877,0.00003215243],"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":[0.0001093343,0.0001286242,0.00004020693,0.0001674259,0.0002055987,0.000003759225,0.0002123017,0.02805896,0.02071228,0.05340191,0.01771333,0.8792462],"study_design_scores_gemma":[0.001854754,0.0008594035,0.002305284,0.0001491125,0.0001247317,0.0001157605,0.0003076405,0.717852,0.06238997,0.003455685,0.2104032,0.0001824483],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06380146,0.000362461,0.9336435,0.001430076,0.0003579628,0.0001502827,0.00002214001,0.00003634213,0.0001957913],"genre_scores_gemma":[0.8019519,0.0001291659,0.1975126,0.000004377388,0.0003468033,0.000001566896,0.000004297056,0.00001365164,0.00003554317],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8790638,"threshold_uncertainty_score":0.1880305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005315741630944978,"score_gpt":0.2097446683844712,"score_spread":0.2044289267535262,"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."}}