{"id":"W4254278515","doi":"10.4095/219697","title":"Calibrated Polarimetric SAR Data for Ship Detection","year":2000,"lang":"en","type":"report","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Remote sensing; Polarimetry; Computer science; Geology; Physics; Optics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003346824,0.0003140947,0.0003721071,0.000367864,0.000075397,0.00006188505,0.000552408,0.0006124605,0.0004427227],"category_scores_gemma":[0.0001052598,0.000284786,0.00009714942,0.000544161,0.00002183615,0.0001068587,0.00005857566,0.0003039925,0.00003209653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022914,"about_ca_system_score_gemma":0.0001550367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112522,"about_ca_topic_score_gemma":0.00006204695,"domain_scores_codex":[0.9985604,0.00001184349,0.0004069908,0.0004575964,0.0002969353,0.0002662292],"domain_scores_gemma":[0.998148,0.0001520014,0.00006451125,0.001462738,0.00009801197,0.00007476283],"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":[0.000002930593,0.00001768209,0.000005822264,0.0001316752,0.00009101124,8.577394e-7,0.000001981125,0.000001630121,0.00009036196,0.00004761749,0.07873715,0.9208713],"study_design_scores_gemma":[0.00006095813,0.0000194822,0.00004771971,0.00003265654,0.0001093234,0.00004148907,0.00000271088,0.009826427,0.006968635,0.000201786,0.9823517,0.000337138],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002540746,0.002817733,0.8397713,0.00003508353,0.0003271208,0.0008744292,0.0007717382,0.002080781,0.1532965],"genre_scores_gemma":[0.05051617,0.0110409,0.9099894,0.0001175552,0.002261713,0.0001561625,0.009065822,0.0007328396,0.01611948],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9205341,"threshold_uncertainty_score":0.9999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05390981090796101,"score_gpt":0.2924227295702042,"score_spread":0.2385129186622432,"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."}}