{"id":"W2407601739","doi":"","title":"Processing and Analysis of Polarimetric Ship Signatures from MARSIE: Report on Results for Polar Epsilon","year":2006,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polarimetry; Remote sensing; Synthetic aperture radar; Computer science; Radar; Geology; Telecommunications; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032674,0.0005514327,0.0002448992,0.0005897257,0.0003071671,0.0006307518,0.0003470615,0.000324259,0.002023664],"category_scores_gemma":[0.0006094903,0.0001445024,0.0002630838,0.0004501576,0.0002723358,0.0004576234,0.0006104364,0.0004169274,0.0008952146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003298985,"about_ca_system_score_gemma":0.000456563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006906951,"about_ca_topic_score_gemma":0.008629268,"domain_scores_codex":[0.9996586,0.00004169979,0.00001238952,0.00005314749,0.0001685966,0.0000655172],"domain_scores_gemma":[0.9993536,0.00006544482,0.00004452737,0.00007744493,0.0003791922,0.00007976557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.009233796,0.001771196,0.1299033,0.000417712,0.0004895747,0.001234329,0.0007756412,0.02366119,0.5435877,0.0007753865,0.02332302,0.2648271],"study_design_scores_gemma":[0.0006112467,0.002694277,0.4650369,0.00004558309,0.0001893763,0.0009548904,0.0006252133,0.05617715,0.440105,0.0003980078,0.03303902,0.0001233288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713241,0.0001965586,0.0141469,0.0002478391,0.00003663954,0.0002562194,0.005201399,0.0006415118,0.007948754],"genre_scores_gemma":[0.9023358,0.0002517054,0.05330341,0.0001858132,0.00003410955,0.000147758,0.03562902,0.000264896,0.007847399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006906951,"threshold_uncertainty_score":0.01373351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008726746896511508,"score_gpt":0.2379603283325889,"score_spread":0.2292335814360774,"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."}}