{"id":"W2038847702","doi":"10.1117/12.855376","title":"A videoSAR mode for the x-band wideband experimental airborne radar","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada); Defence Research and Development Canada","funders":"","keywords":"Computer science; Synthetic aperture radar; Remote sensing; Radar; Speckle pattern; Radar imaging; Inverse synthetic aperture radar; Mode (computer interface); Computer vision; Artificial intelligence; Geology; 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":[0.00124982,0.0007835276,0.0004295394,0.0009573761,0.0004974714,0.0007667544,0.001233175,0.0007609273,0.1297543],"category_scores_gemma":[0.0008767421,0.0003427818,0.0002988276,0.0005938539,0.0003806471,0.001232123,0.001196686,0.001472708,0.03650063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359208,"about_ca_system_score_gemma":0.0004930405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005651569,"about_ca_topic_score_gemma":0.001315971,"domain_scores_codex":[0.9994078,0.00007030799,0.0000256085,0.0001106231,0.0003144864,0.00007117842],"domain_scores_gemma":[0.9994395,0.00009946812,0.00004588395,0.000140121,0.0001921721,0.00008285169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001692925,0.0003033853,0.002093452,0.0005276233,0.0000433231,0.0004627062,0.0003246504,0.001106716,0.1926615,0.02683454,0.4529597,0.3209896],"study_design_scores_gemma":[0.0002615968,0.0004897418,0.002789104,0.0001200622,0.00002435154,0.000952138,0.00006723047,0.01096253,0.04860026,0.001937651,0.9337145,0.0000808017],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0270152,0.003034091,0.5056938,0.001740464,0.001935901,0.002130239,0.01640895,0.09758084,0.3444605],"genre_scores_gemma":[0.2080336,0.002177982,0.3856584,0.004713895,0.001425261,0.002961932,0.03000256,0.01134646,0.3536797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1297543,"threshold_uncertainty_score":0.4340715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009297346268122912,"score_gpt":0.2471914227669349,"score_spread":0.2378940764988119,"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."}}