{"id":"W4388340907","doi":"10.1049/ell2.12834","title":"Exploitation of SAS interferometric phase statistics for coherent change detection","year":2023,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Decorrelation; Coherence (philosophical gambling strategy); Interferometry; Synthetic aperture radar; Computer science; Interferometric synthetic aperture radar; Clutter; Remote sensing; Phase (matter); Artificial intelligence; Computer vision; Sonar; Radar; Optics; Geology; Statistics; Mathematics; Physics; 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":[0.0001066717,0.00009255081,0.0001141049,0.0002642803,0.0000320732,0.000009074486,0.00007770994,0.00004087198,0.000009754865],"category_scores_gemma":[0.00002557548,0.00009864937,0.00003749163,0.000557594,0.00001449614,0.00004647788,0.000007375998,0.00007754472,0.000007273649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208872,"about_ca_system_score_gemma":0.00000588791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004276882,"about_ca_topic_score_gemma":0.00001070627,"domain_scores_codex":[0.9994216,0.000008156327,0.0001662608,0.0001072553,0.00009532131,0.0002014087],"domain_scores_gemma":[0.9996405,0.0001308107,0.00003966202,0.0001335791,0.0000325352,0.00002289511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001203276,0.00002718978,0.000005061775,0.00007503336,0.00004072407,3.196253e-7,0.0002003991,0.00001380687,0.1332019,0.00166149,0.003210773,0.8615513],"study_design_scores_gemma":[0.0008476,0.000490865,0.0001747521,0.00003058903,0.0000649568,0.000002924795,0.00008370304,0.07505412,0.6025455,0.002352294,0.3180426,0.0003100693],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08225173,0.0002126019,0.9162897,0.0002419831,0.0001157555,0.0004387538,0.00004816219,0.0003716037,0.00002972156],"genre_scores_gemma":[0.9484908,0.0003027936,0.05040403,0.00008611206,0.0000825777,0.0004834276,0.00009427886,0.00004492182,0.00001104245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8662391,"threshold_uncertainty_score":0.4022804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534993102092293,"score_gpt":0.2753609262700372,"score_spread":0.2500109952491143,"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."}}