{"id":"W2021291752","doi":"10.1109/igarss.2015.7325922","title":"Fetch imaged by SAR and simulated by WRF model","year":2015,"lang":"en","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; National Oceanic and Atmospheric Administration","keywords":"Weather Research and Forecasting Model; Fetch; Synthetic aperture radar; Meteorology; Event (particle physics); Atmospheric model; Remote sensing; Environmental science; Wind speed; Space-based radar; Radar imaging; Radar; Geology; Climatology; Computer science; Oceanography; Geography; Radar engineering details; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001527366,0.0007790386,0.00042586,0.0006848655,0.0003572631,0.0004850913,0.000697781,0.000995846,0.001965212],"category_scores_gemma":[0.000494961,0.0003538526,0.0005892054,0.0007087886,0.0004340525,0.0007235345,0.0002316376,0.0004623911,0.0003075683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007675476,"about_ca_system_score_gemma":0.0005785523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06729139,"about_ca_topic_score_gemma":0.03489181,"domain_scores_codex":[0.9998939,0.00001372114,0.000006367015,0.00003288061,0.0000219239,0.00003129105],"domain_scores_gemma":[0.9998709,0.00002740563,0.00001659407,0.00002567151,0.00003791022,0.00002152005],"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":[0.00004479035,0.00004466886,0.006172701,0.00001208685,0.00002313012,0.0001766472,0.00002392147,0.9889131,0.002342597,0.0002667698,0.0002952191,0.001684305],"study_design_scores_gemma":[0.00002730835,0.00001853127,0.004866733,0.000002151866,0.000007982909,0.00002128692,0.00002072553,0.9941722,0.0005343314,0.0001478088,0.0001685797,0.0000124259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857621,0.00006523826,0.006838653,0.0001466281,0.00004611325,0.00003216128,0.002006629,0.0005604773,0.004542044],"genre_scores_gemma":[0.9951876,0.0000453932,0.002297977,0.00002045529,0.000008562651,0.00001579003,0.001441553,0.00003453257,0.0009481467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06729139,"threshold_uncertainty_score":0.1337994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524384563212523,"score_gpt":0.2000700446319011,"score_spread":0.1848261989997759,"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."}}