{"id":"W2381119677","doi":"","title":"Theory and application of deorientation for target scattering Part II: application to terrain surface classification","year":2006,"lang":"en","type":"article","venue":"Chinese Journal of Radio Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Polarimetry; Remote sensing; Scattering; Orientation (vector space); Surface (topology); Radiative transfer; Transformation (genetics); Class (philosophy); Canopy; Surface roughness; Contextual image classification; Computer science; Pattern recognition (psychology); Artificial intelligence; Geography; Mathematics; Image (mathematics); Geometry; Physics; Cartography; 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":[0.0005522107,0.0005676787,0.0005343187,0.001331983,0.0004131123,0.001188542,0.000700982,0.0006159199,0.001511287],"category_scores_gemma":[0.001102408,0.0003564542,0.0006284182,0.001491948,0.0012075,0.00116664,0.0007612268,0.0009812766,0.0008137422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008612986,"about_ca_system_score_gemma":0.0005051016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003347172,"about_ca_topic_score_gemma":0.001447228,"domain_scores_codex":[0.9996397,0.00006482645,0.00002898384,0.0001093697,0.0001204801,0.00003663942],"domain_scores_gemma":[0.9996122,0.0001394246,0.00004380951,0.00006158683,0.0001239875,0.00001903903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000542466,0.00004818769,0.003413387,0.0003327205,0.00006482186,0.0002658968,0.0002596633,0.2368469,0.02295376,0.2873491,0.005979528,0.4424318],"study_design_scores_gemma":[0.000008810219,0.0000505778,0.002144563,0.00004416206,0.00001737508,0.0003921638,0.00009639352,0.8443317,0.006780233,0.1121225,0.0339603,0.00005114599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00283604,0.000960619,0.9921948,0.0002026912,0.0001024914,0.00002166434,0.00003702804,0.0001355921,0.003509071],"genre_scores_gemma":[0.3040918,0.009243678,0.6715662,0.0004712199,0.000683638,0.0002754105,0.0005141813,0.0001823835,0.01297136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003347172,"threshold_uncertainty_score":0.006655335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006560266838476797,"score_gpt":0.2426831964224537,"score_spread":0.2361229295839769,"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."}}