{"id":"W2907328493","doi":"10.1016/b978-012119792-6/50127-3","title":"Synthetic Aperture Radar Algorithms","year":2005,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"General Dynamics (Canada)","funders":"Canadian Space Agency; Defense Advanced Research Projects Agency","keywords":"Computer science; Synthetic aperture radar; Algorithm; Remote sensing; Geology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003415695,0.001425001,0.0008342612,0.0008910427,0.0002814716,0.001622164,0.0008001564,0.0008912906,0.0482991],"category_scores_gemma":[0.0009381786,0.000521111,0.0004545172,0.001332731,0.0004495121,0.001452404,0.0009906802,0.001321725,0.05301679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002780606,"about_ca_system_score_gemma":0.000371438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006430537,"about_ca_topic_score_gemma":0.0009237741,"domain_scores_codex":[0.9997274,0.00003251708,0.00001123199,0.00006100536,0.0001552942,0.00001254996],"domain_scores_gemma":[0.9996536,0.00009067897,0.00001254798,0.0001201772,0.0001089471,0.00001412194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002430297,0.00002776842,0.00009495065,0.000168984,0.00002522914,0.00004307396,0.00004806205,0.01091744,0.006537658,0.04147791,0.1016824,0.8389522],"study_design_scores_gemma":[0.0000150097,0.00005009735,0.0005653415,0.0001333395,0.0000310064,0.0004688017,0.00003777747,0.07512753,0.008886309,0.06897047,0.8456805,0.00003386293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00132585,0.005436225,0.8406236,0.0004661802,0.0008950239,0.00004212144,0.0004881617,0.003829562,0.1468934],"genre_scores_gemma":[0.02123343,0.01179666,0.4453345,0.0005156042,0.0009173799,0.0001176251,0.003606213,0.001792219,0.5146863],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0482991,"threshold_uncertainty_score":0.1615766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008879858159520186,"score_gpt":0.2212091974225668,"score_spread":0.2123293392630466,"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."}}