{"id":"W2140885092","doi":"10.1109/igarss.1997.608967","title":"Determination of propagation parameters from fully polarimetric radar data","year":2002,"lang":"en","type":"article","venue":"","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Covariance matrix; Covariance; Polarimetry; Attenuation; Scattering; Polarization (electrochemistry); Radar; Physics; Wave propagation; Anisotropy; Matrix (chemical analysis); Differential phase; Mueller calculus; Backscatter (email); Computational physics; Optics; Mathematics; Phase (matter); Algorithm; Computer science; Statistics; Materials science; Chemistry; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00006266459,0.00006786282,0.00009141045,0.0001775278,0.00001620819,0.00002064578,0.0001720516,0.00005979901,0.0003367659],"category_scores_gemma":[0.0001206423,0.00006474622,0.00001641472,0.000494327,0.00001733912,0.0002994293,0.00002954204,0.00006621062,0.0001409513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001876688,"about_ca_system_score_gemma":0.000002184893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006272605,"about_ca_topic_score_gemma":0.0000052389,"domain_scores_codex":[0.9994427,0.00001266044,0.000188288,0.0001166497,0.0001458149,0.00009387996],"domain_scores_gemma":[0.9995238,0.00006522517,0.00002389853,0.0003189663,0.00002472512,0.00004339774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001415628,0.0003887528,0.008216268,0.0002485079,0.0001419316,0.000006026426,0.0003578009,0.002138367,0.08731636,0.002653129,0.009484428,0.8890343],"study_design_scores_gemma":[0.0002370665,0.00002734119,0.004953828,0.000009383809,0.00002536348,7.621907e-7,0.00002090116,0.9680181,0.02523604,0.0001943809,0.001133256,0.0001436246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1208675,0.0005215532,0.8621275,0.0000985768,0.0003404267,0.0001987975,0.0001115207,0.0003328738,0.01540126],"genre_scores_gemma":[0.9274052,0.00003453263,0.07219626,0.00003225022,0.00002347211,6.780119e-7,0.0001321972,0.00001310173,0.0001622977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9658797,"threshold_uncertainty_score":0.3687351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03793363001875624,"score_gpt":0.2259397420198569,"score_spread":0.1880061120011007,"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."}}