{"id":"W2890561135","doi":"","title":"High Acccuracy Ocean Surface Winds from SAR Imagery","year":2008,"lang":"en","type":"article","venue":"18th Conference on Atmospheric BioGeosciences/28th Conference on Agricultural and Forest Meteorology/28th Conference on Hurricanes and Tropical Meteorology<br> (28 April–2 May 2008)","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Geology; Remote sensing; Synthetic aperture radar; Meteorology; Climatology; Geodesy; Geography","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.0006237841,0.001911308,0.002371782,0.0001365014,0.001974959,0.0007008393,0.001566849,0.001146688,0.002879997],"category_scores_gemma":[0.000459224,0.001229461,0.0004064887,0.001333351,0.005053624,0.0008300152,0.0002794877,0.001953893,0.0004395089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007198688,"about_ca_system_score_gemma":0.0005654559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00790319,"about_ca_topic_score_gemma":0.001501755,"domain_scores_codex":[0.9898241,0.0009766149,0.001547358,0.00339898,0.001652414,0.002600492],"domain_scores_gemma":[0.9943964,0.001121778,0.0009976836,0.001057749,0.0007885334,0.001637806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005104056,0.001682504,0.6999184,0.0001817103,0.0008742127,0.001707508,0.002890946,0.002681978,0.003648493,0.1520506,0.005564892,0.1236947],"study_design_scores_gemma":[0.002522941,0.006243757,0.9398238,0.0002152693,0.0002210591,0.000521119,0.00159712,0.03343905,0.0002059992,0.01106259,0.001923643,0.00222363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803545,0.0007146862,0.0001490447,0.009127387,0.001811562,0.0009932203,0.0005114269,0.0003289498,0.006009264],"genre_scores_gemma":[0.9843042,0.005349987,0.00561888,0.00270075,0.0005064799,0.000002170711,0.0003250866,0.00003968491,0.001152762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2399054,"threshold_uncertainty_score":0.9993631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305065422394903,"score_gpt":0.2193240622909088,"score_spread":0.1962734080669598,"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."}}