{"id":"W2096223773","doi":"10.5589/m04-056","title":"Improved ship detection with airborne polarimetric SAR data","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Synthetic aperture radar; Polarimetry; Channel (broadcasting); Computer science; Remote sensing; False alarm; Artificial intelligence; Geography; Telecommunications; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002402026,0.0001236304,0.0001623595,0.0004088586,0.00009892721,0.0000547653,0.0002073906,0.00008574187,0.000009912353],"category_scores_gemma":[0.00006761011,0.000109873,0.00003366685,0.0003984033,0.00003688898,0.0001753382,0.000007991185,0.0003012684,0.000003501593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002643549,"about_ca_system_score_gemma":0.0002047484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004947472,"about_ca_topic_score_gemma":0.02177211,"domain_scores_codex":[0.9992936,0.00001508408,0.000236256,0.0001162981,0.00009948132,0.000239336],"domain_scores_gemma":[0.9990689,0.00003719734,0.00008404464,0.0004046403,0.0001034379,0.0003017988],"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":[0.000002729058,9.381101e-7,0.000005446605,0.000005091139,0.00002710486,0.00001850527,0.00003832077,0.00001279747,0.001051417,0.000004061058,0.0001993712,0.9986342],"study_design_scores_gemma":[0.0001624136,0.00004649282,0.0003385246,0.00007926269,0.00005373542,0.001329275,0.00004408915,0.1572984,0.02518644,0.00005102806,0.815232,0.000178346],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02116936,0.001220858,0.9758381,0.0003799193,0.0001181615,0.00008950113,0.000009124223,0.00006289474,0.001112059],"genre_scores_gemma":[0.4988907,0.00002169844,0.5007972,0.00004881388,0.0002063899,2.103503e-9,0.000002206901,0.00002336997,0.000009653523],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9984559,"threshold_uncertainty_score":0.996078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356368678249294,"score_gpt":0.2110665362085756,"score_spread":0.1975028494260826,"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."}}