{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001787232,0.00007629005,0.0001336869,0.0001315955,0.0002328709,0.00004226701,0.0001716633,0.00002440166,0.00000397145],"category_scores_gemma":[0.0001251665,0.00005199491,0.00003180207,0.0004438779,0.000156049,0.000332634,0.000006026449,0.0000483437,0.000001407162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001056777,"about_ca_system_score_gemma":0.00005458955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001281073,"about_ca_topic_score_gemma":0.000071095,"domain_scores_codex":[0.999119,0.0000368719,0.0003072222,0.0001607263,0.0002474005,0.00012879],"domain_scores_gemma":[0.9991959,0.0001313469,0.0002946658,0.0001215542,0.0001714121,0.00008507878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002840882,0.00005452641,0.478878,0.00005002679,0.0000086002,5.545667e-7,0.001671062,0.07447882,0.2499803,0.001279396,0.0002303085,0.1930843],"study_design_scores_gemma":[0.0002618882,0.0001631333,0.8715159,0.00002117805,0.00001060298,0.00004399938,0.0001382748,0.1160296,0.003380118,0.007224908,0.001113603,0.00009678486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8452975,0.0001220854,0.1537772,0.0003122231,0.0001399892,0.0001629652,0.000008329615,0.000005686321,0.0001739702],"genre_scores_gemma":[0.9866381,0.00001086332,0.01312141,0.0000391158,0.0001502871,3.252922e-7,0.00001305913,0.000002176158,0.00002461322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3926379,"threshold_uncertainty_score":0.2120291,"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."}}