{"id":"W2982003849","doi":"10.4095/219806","title":"Ship Detection Using Airborne Polarimetric SAR","year":2001,"lang":"en","type":"report","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Remote sensing; Polarimetry; Environmental science; Geology; Computer science; Physics; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003123325,0.000371702,0.0004095723,0.0006315087,0.00009130004,0.00004537252,0.0002069556,0.0006785447,0.0003896503],"category_scores_gemma":[0.00007722446,0.0003533938,0.0001751943,0.0009002844,0.00002829005,0.00006340433,0.00003786783,0.0005008696,0.00004579964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007574878,"about_ca_system_score_gemma":0.000125238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260653,"about_ca_topic_score_gemma":0.00006710943,"domain_scores_codex":[0.9984401,0.00001520787,0.0004277705,0.0003403859,0.0004575231,0.0003190139],"domain_scores_gemma":[0.9989816,0.00006966305,0.00009305887,0.0006059701,0.0001597847,0.00008990217],"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":[9.497535e-7,0.0000208201,0.00006607715,0.00009755507,0.00008100019,0.000006312154,0.000004764376,0.000008339061,0.0004169187,0.0000678835,0.002170312,0.997059],"study_design_scores_gemma":[0.00004267724,0.00001480934,0.0005301456,0.00006282306,0.000109137,0.0002705533,0.000006186742,0.003877009,0.01426488,0.0001680674,0.9802333,0.0004204523],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006255062,0.002691277,0.7298727,0.00001254987,0.0004701541,0.0003411054,0.00001495295,0.001703507,0.2642682],"genre_scores_gemma":[0.3863159,0.00631169,0.5989895,0.00005148589,0.001950461,0.00003938004,0.0001065712,0.0004726686,0.005762381],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9966386,"threshold_uncertainty_score":0.9998918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478221282477587,"score_gpt":0.2747449130628041,"score_spread":0.2399627002380282,"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."}}