{"id":"W2005964939","doi":"10.1109/tgrs.2002.802457","title":"Estimating the effective number of looks in interferometric SAR data","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Synthetic aperture radar; Estimator; Clutter; Constant false alarm rate; Interferometry; Computer science; Probability density function; Parameterized complexity; Interferometric synthetic aperture radar; Pixel; Algorithm; Phase (matter); False alarm; Radar; Remote sensing; Artificial intelligence; Mathematics; Statistics; Physics; Optics; Geology","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":[0.0002135676,0.00009725557,0.0001196624,0.000150165,0.0001222552,0.00002283295,0.0001601747,0.00004868632,0.000009037725],"category_scores_gemma":[0.00001379451,0.00007131564,0.00002221147,0.0006505281,0.0001437656,0.00009943529,0.000003513345,0.0001907601,0.000004962496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002655475,"about_ca_system_score_gemma":0.000003599618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002081108,"about_ca_topic_score_gemma":0.0000218535,"domain_scores_codex":[0.9993606,0.00002334668,0.0001631321,0.0001968398,0.0001137371,0.0001423659],"domain_scores_gemma":[0.9993338,0.0002217071,0.00002592509,0.0003741654,0.00001778643,0.00002659655],"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":[8.618809e-7,0.00001007984,0.000001319327,0.00001164886,0.000004564206,9.670921e-7,0.0002438524,0.0001796756,0.000456109,0.000002919961,0.000007837272,0.9990802],"study_design_scores_gemma":[0.00006797076,0.00001554346,0.00008603904,0.0001159653,0.00001224828,0.00006782357,0.00006568954,0.9861118,0.01225198,0.0001349707,0.0009846133,0.00008539844],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0655111,0.00007537461,0.9330002,0.0000783329,0.0001339876,0.0001704872,0.000006059366,0.00007449852,0.0009499644],"genre_scores_gemma":[0.6440396,0.00006099505,0.3558468,0.00001637426,0.000009615022,8.825387e-8,2.240385e-7,0.000007420012,0.00001888763],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9989948,"threshold_uncertainty_score":0.2908168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862543976636516,"score_gpt":0.2548407940711904,"score_spread":0.2362153543048253,"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."}}