{"id":"W4405907029","doi":"10.1109/icjece.2024.3506115","title":"Ship Wake Detection Based on Polarimetric Enhancement and Deep Learning via a Simulated Full-Polarized Dataset","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Polarimetry; Wake; Humanities; Computer science; Physics; Philosophy; Optics; Mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006277987,0.001211246,0.0004304777,0.0008604644,0.0002949962,0.0004665333,0.0008349661,0.000622007,0.0009424678],"category_scores_gemma":[0.001143977,0.0003123602,0.0008574341,0.0006471635,0.0003755483,0.0006296476,0.0006722394,0.0009559705,0.0004594933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004313203,"about_ca_system_score_gemma":0.0005852183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279422,"about_ca_topic_score_gemma":0.0175438,"domain_scores_codex":[0.9997018,0.00006914805,0.00001180851,0.00009156785,0.00006596631,0.00005968341],"domain_scores_gemma":[0.9996032,0.0001204192,0.00003451183,0.00007856501,0.0001312499,0.00003210035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009340864,0.00123394,0.03180208,0.0003629902,0.0005178924,0.0007998981,0.0001410025,0.6834467,0.02744396,0.001402294,0.02699912,0.224916],"study_design_scores_gemma":[0.00004366703,0.0001197652,0.009137156,0.00001212821,0.00003318273,0.00006135674,0.00004004751,0.9827933,0.00589546,0.0004513228,0.001389192,0.00002338603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205053,0.0005556438,0.06433551,0.0004165981,0.0002487591,0.0001394966,0.007894095,0.002551701,0.00335289],"genre_scores_gemma":[0.8908454,0.0002452724,0.06423178,0.0001939149,0.00005771444,0.0001373231,0.04132278,0.0001635009,0.00280239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01279422,"threshold_uncertainty_score":0.0254395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004603290886286904,"score_gpt":0.1656699555031464,"score_spread":0.1610666646168595,"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."}}