{"id":"W2136449732","doi":"10.1109/igarss.1994.399711","title":"Maximum likelihood estimation for SAR interferometry","year":2002,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coherence (philosophical gambling strategy); Magnitude (astronomy); Interferometric synthetic aperture radar; Synthetic aperture radar; Interferometry; Terrain; Gaussian; Phase (matter); Amplitude; Mathematics; Statistics; Remote sensing; Physics; Optics; Geology; Geography","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":[0.00004803098,0.00009453532,0.00009234461,0.00007574692,0.00003418004,0.00002086385,0.00009725167,0.00006736768,0.0005166182],"category_scores_gemma":[0.00001594349,0.00008475794,0.00004494072,0.0001160632,0.00001166553,0.00006020671,0.00001051943,0.00005120455,0.00009920789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003416041,"about_ca_system_score_gemma":0.000001223505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000306088,"about_ca_topic_score_gemma":0.000001137517,"domain_scores_codex":[0.9995587,0.000002492967,0.0001358367,0.0001069559,0.00005614617,0.0001398654],"domain_scores_gemma":[0.9996741,0.00005625935,0.00001195499,0.0001997976,0.00002079375,0.00003708343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[6.006039e-7,0.00002110806,0.000007122216,0.00002231872,0.00001192561,1.123873e-7,0.00003774057,0.000004996346,0.0003275804,0.002351745,0.01786644,0.9793483],"study_design_scores_gemma":[0.000125029,0.00003832621,0.000034843,0.00001586654,0.00001347413,0.000007571294,0.00002194098,0.4209293,0.03355509,0.0114077,0.5336842,0.0001666978],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001164501,0.0001944644,0.9646872,0.0003006371,0.00006466397,0.0002518047,0.000006504818,0.0008619676,0.03246822],"genre_scores_gemma":[0.3850959,0.00003289945,0.614549,0.00005689064,0.00003352261,0.00003706645,0.000006044379,0.00002142892,0.0001671817],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9791816,"threshold_uncertainty_score":0.5656607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207970378751625,"score_gpt":0.2220838591432498,"score_spread":0.2100041553557335,"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."}}