{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000958111,0.0006569375,0.0005806164,0.0001835735,0.00005982637,0.00003855788,0.0004274633,0.0004584164,0.0003168314],"category_scores_gemma":[0.00001708454,0.0006726273,0.0002411099,0.00001082111,0.0001213992,0.00006406481,0.00009367898,0.000954356,0.0004833092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002854781,"about_ca_system_score_gemma":0.00002639457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.037657e-7,"about_ca_topic_score_gemma":0.000002976801,"domain_scores_codex":[0.9984511,0.00000846918,0.0003971934,0.0004383145,0.0003054457,0.000399468],"domain_scores_gemma":[0.9987803,0.00007416833,0.00007824323,0.0008842878,0.00005380025,0.0001291643],"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":[0.000001385802,0.00000186416,9.438941e-8,0.00009807404,0.00006530731,0.0000455015,0.00004436413,0.00001446266,0.0001319483,0.001594149,0.000833082,0.9971698],"study_design_scores_gemma":[0.00008813736,0.00001364129,3.565592e-7,0.000602109,0.00006287089,0.00006875613,0.000001052847,0.0003223832,0.000350993,0.01265799,0.9851214,0.0007102857],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[3.321083e-7,0.006536367,0.001876807,0.00006302862,0.000334994,0.0004263809,0.0000640572,0.002289135,0.9884089],"genre_scores_gemma":[0.00009939095,0.0005947484,0.05303893,0.000342472,0.0006305097,0.00004573629,0.00003279136,0.0004370076,0.9447784],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9964595,"threshold_uncertainty_score":0.9995725,"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."}}