{"id":"W2065133146","doi":"10.3390/rs6042898","title":"Reconstructed Wind Fields from Multi-Satellite Observations","year":2014,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; Fundamental Research Funds for the Central Universities; Canadian Space Agency; National Natural Science Foundation of China","keywords":"Buoy; Wind speed; Remote sensing; Standard deviation; Satellite; Meteorology; Geodesy; Geology; Environmental science; Synthetic aperture radar; Geography; Physics; Mathematics; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001669837,0.0001656043,0.0002104187,0.00006935112,0.0002623684,0.0001082954,0.00009068548,0.0001442244,0.000110739],"category_scores_gemma":[0.000126816,0.0001454019,0.00008202688,0.0002064036,0.00008016548,0.0001347559,0.00001109644,0.0002227161,0.0001690403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005157574,"about_ca_system_score_gemma":0.0000252947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003603886,"about_ca_topic_score_gemma":0.001807963,"domain_scores_codex":[0.9987957,0.000118697,0.0002707406,0.0003247054,0.0001631415,0.0003270187],"domain_scores_gemma":[0.9991394,0.0002673061,0.00009990655,0.00029404,0.00005914094,0.0001402541],"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":[0.000007577599,0.000001865379,0.002989585,0.000005224362,0.0000175558,0.00001266549,0.0002184534,0.002129997,0.0005741125,0.000004147615,0.00003294231,0.9940059],"study_design_scores_gemma":[0.0002380786,0.00001906713,0.09522094,0.00007319892,0.00001864481,0.00003457609,0.0001017582,0.8972529,0.0003476457,0.001292827,0.005190875,0.0002094525],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816167,0.0002072046,0.00987116,0.0004449692,0.0009382439,0.00009065145,0.00001454192,0.0001098592,0.006706634],"genre_scores_gemma":[0.7735475,0.00006648286,0.2249102,0.0005872317,0.0004215283,6.731437e-12,0.000131377,0.000008010689,0.0003276484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9937964,"threshold_uncertainty_score":0.5929317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274546492483715,"score_gpt":0.2140860048628314,"score_spread":0.1813405399379942,"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."}}