{"id":"W2212665185","doi":"","title":"Ship detection with spaceborne multi-channel SAR/GMTI radars","year":2012,"lang":"en","type":"article","venue":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Moving target indication; Clutter; Synthetic aperture radar; Computer science; Channel (broadcasting); Remote sensing; Inverse synthetic aperture radar; Radar; Radar cross-section; Space-time adaptive processing; Radar imaging; Computer vision; Continuous-wave radar; Geology; 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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002414895,0.002611748,0.001934158,0.002491725,0.001265801,0.000817021,0.0021012,0.001390318,0.0008350672],"category_scores_gemma":[0.0006256808,0.00261031,0.0006045806,0.003963393,0.0007221201,0.006383252,0.0005635705,0.00339934,0.002404071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133232,"about_ca_system_score_gemma":0.000279437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003236239,"about_ca_topic_score_gemma":0.0003931407,"domain_scores_codex":[0.9881743,0.000642541,0.00222756,0.002150668,0.002183876,0.004621091],"domain_scores_gemma":[0.9919362,0.0007364344,0.0006920114,0.003428475,0.001259933,0.001946913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004175198,0.01972027,0.09065013,0.01008729,0.01401608,0.001042665,0.0420026,0.1668239,0.1610297,0.01912079,0.2716087,0.1997228],"study_design_scores_gemma":[0.01685987,0.001552949,0.04167515,0.001750484,0.002367457,0.001829655,0.005069564,0.1498291,0.3662624,0.01176731,0.3828165,0.01821948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07503977,0.009478027,0.8835331,0.002178402,0.004426867,0.004801072,0.0004421988,0.01179719,0.008303353],"genre_scores_gemma":[0.9051216,0.001321458,0.08666442,0.0007651579,0.001536149,0.0007497086,0.0006056143,0.001107047,0.002128885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8300818,"threshold_uncertainty_score":0.9999061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227539751135765,"score_gpt":0.2446900922252827,"score_spread":0.222414694713925,"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."}}