{"id":"W4399768579","doi":"10.1109/tgrs.2024.3416396","title":"Target Monitoring Capability Analysis for Shipborne HFSWR Under Different Platform Motions","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Remote sensing; Computer science; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.000175974,0.0001667208,0.0002081254,0.0003510222,0.0003574765,0.0001758672,0.00005175498,0.00008738881,0.000007261632],"category_scores_gemma":[0.000003414302,0.0001411647,0.0001909794,0.0006977496,0.00006467369,0.0001789624,6.516916e-7,0.0002007348,0.000004956062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124896,"about_ca_system_score_gemma":0.00001441912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001652097,"about_ca_topic_score_gemma":0.0001761284,"domain_scores_codex":[0.9990057,0.00001587667,0.0002217799,0.0003155979,0.0001675638,0.0002735083],"domain_scores_gemma":[0.9995694,0.00009901695,0.00001366816,0.00017885,0.00003088047,0.0001081827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000161731,0.0000301543,0.000009461984,0.0002104095,0.0005058757,0.000005360946,0.0008060155,0.3600892,0.03603064,0.00002974119,0.00001038563,0.6022566],"study_design_scores_gemma":[0.0001189719,0.00003148066,0.000806945,0.00006953544,0.0001591886,0.00001272574,0.0003685006,0.9846291,0.01319247,0.0002687204,0.0001798827,0.0001624965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2691472,0.0001200151,0.7284256,0.00007072849,0.001693739,0.0001452592,0.00001788007,0.0003026566,0.00007697044],"genre_scores_gemma":[0.9957008,0.00005642488,0.003811043,0.00001173494,0.00009236646,0.000001353267,0.000001148476,0.00001778213,0.0003073867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7265536,"threshold_uncertainty_score":0.5756528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997049768407694,"score_gpt":0.2480707831337017,"score_spread":0.2281002854496247,"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."}}