{"id":"W2588262451","doi":"10.3390/rs9020166","title":"Texture-Analysis-Incorporated Wind Parameters Extraction from Rain-Contaminated X-Band Nautical Radar Images","year":2017,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Clutter; Remote sensing; Radar; Azimuth; Pixel; Wind direction; Radar imaging; Environmental science; Geology; Anemometer; Wind speed; Meteorology; Computer science; Geography; Artificial intelligence; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001727344,0.0003514994,0.000318264,0.001019443,0.0001579687,0.0005744614,0.0002508934,0.0001777509,0.0005173555],"category_scores_gemma":[0.0008142064,0.0001971344,0.0003560335,0.0006876267,0.0001417501,0.0004187434,0.0002468537,0.000245872,0.000356591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481806,"about_ca_system_score_gemma":0.0003046325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002312746,"about_ca_topic_score_gemma":0.004173038,"domain_scores_codex":[0.9998481,0.00001252693,0.00001143352,0.00003072612,0.00007156625,0.00002561902],"domain_scores_gemma":[0.9997802,0.00003869312,0.00004810108,0.00002578553,0.00009553998,0.00001158602],"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":[0.0002948839,0.00009925663,0.01511114,0.000262892,0.0001054869,0.0002513302,0.000102404,0.02679165,0.3599609,0.0009575929,0.001305997,0.5947564],"study_design_scores_gemma":[0.0000664937,0.0001585938,0.08126892,0.0000307671,0.000143904,0.0006937421,0.0001857634,0.745178,0.1628662,0.001666515,0.007664941,0.00007607917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1828635,0.0004096538,0.8136989,0.0000668978,0.00007766241,0.00007119578,0.0003841887,0.0007574325,0.001670607],"genre_scores_gemma":[0.5497552,0.0005563425,0.446267,0.00004927037,0.00006864053,0.00006756713,0.001187111,0.0001203076,0.00192867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002312746,"threshold_uncertainty_score":0.004598498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903770408513669,"score_gpt":0.2480238383120348,"score_spread":0.2289861342268981,"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."}}