{"id":"W2361068689","doi":"","title":"Theory and application of deorientation for target scattering Part I: deorientation theory","year":2006,"lang":"en","type":"article","venue":"Chinese Journal of Radio Science","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scattering; Polarimetry; Transformation (genetics); Eigenvalues and eigenvectors; Set (abstract data type); Matrix (chemical analysis); Remote sensing; Pattern recognition (psychology); Pixel; Mathematics; Artificial intelligence; Computer science; Geography; Physics; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005702393,0.0007769816,0.0005896377,0.001377149,0.0005463236,0.001400012,0.0008458682,0.000831634,0.001992219],"category_scores_gemma":[0.0008858011,0.0003953416,0.0006074364,0.001129244,0.001672377,0.001762423,0.001139823,0.001536475,0.000923918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009755364,"about_ca_system_score_gemma":0.0005143919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706424,"about_ca_topic_score_gemma":0.0008444271,"domain_scores_codex":[0.9996139,0.00008112949,0.00002558075,0.0001008198,0.000135531,0.00004306762],"domain_scores_gemma":[0.9996337,0.0001161367,0.00004881042,0.00004848289,0.0001287021,0.0000241939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002121163,0.00002085725,0.0007740306,0.0001839678,0.0000326363,0.0001470274,0.000188822,0.06146961,0.008488944,0.8527622,0.003040889,0.07286984],"study_design_scores_gemma":[0.000009786117,0.00007004471,0.0013333,0.00007911525,0.00001879907,0.000514362,0.0001465491,0.4032059,0.005113692,0.5382848,0.05113443,0.00008922575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003278496,0.002166871,0.9845709,0.000297409,0.0001842545,0.00002008952,0.00006135651,0.00006912775,0.009351473],"genre_scores_gemma":[0.4514383,0.01626388,0.4970107,0.001061763,0.001277649,0.000377573,0.0006644375,0.0002982826,0.03160747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001992219,"threshold_uncertainty_score":0.007078052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002876815550294633,"score_gpt":0.2364876488262086,"score_spread":0.233610833275914,"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."}}