{"id":"W2483188610","doi":"","title":"Ocean wind field mapping from synthetic aperture radar and its application to research and applied problems","year":2005,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Synthetic aperture radar; Remote sensing; Satellite; Meteorology; Space-based radar; Geology; Radar; Environmental science; Ocean current; Wind speed; Offshore wind power; Wind power; Radar imaging; Computer science; Geography; Climatology; Radar engineering details; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006900983,0.0002906667,0.0005948705,0.0004142145,0.0005344583,0.00003319774,0.0008016833,0.0005676435,0.0006364069],"category_scores_gemma":[0.000131047,0.0003230685,0.0001287237,0.0008030353,0.0007131851,0.0003076367,0.0004467035,0.000813457,0.0001134294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006142024,"about_ca_system_score_gemma":0.00007833412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440551,"about_ca_topic_score_gemma":0.001802752,"domain_scores_codex":[0.9974822,0.0001354253,0.0003150602,0.0008640837,0.0006562722,0.0005468967],"domain_scores_gemma":[0.9975303,0.001082906,0.0001990173,0.0005173024,0.0001944548,0.0004760266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01018498,0.0024921,0.02934805,0.002277146,0.00111348,0.000750427,0.00611989,0.004778205,0.2695338,0.008321991,0.02842794,0.636652],"study_design_scores_gemma":[0.01398849,0.005940087,0.4729148,0.00483541,0.001123946,0.0005343548,0.02198431,0.06087664,0.009320958,0.009997503,0.3920444,0.006439038],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720569,0.001071367,0.003181716,0.004627824,0.00004299778,0.001239979,0.0001544731,0.0001249158,0.01749978],"genre_scores_gemma":[0.9843796,0.0008870892,0.01395531,0.0001182173,0.0000502934,4.376477e-9,0.00003862656,0.00001132813,0.0005594778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.630213,"threshold_uncertainty_score":0.9999222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182205729530035,"score_gpt":0.2067231567934537,"score_spread":0.1885025838404502,"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."}}