{"id":"W2131819360","doi":"10.2528/pierb12111509","title":"SIMULATING GNSS-R DELAY-DOPPLER MAP OF OIL SLICKED SEA SURFACES UNDER GENERAL SCENARIOS","year":2013,"lang":"en","type":"article","venue":"Progress In Electromagnetics Research B","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"GNSS applications; Doppler effect; Computer science; Environmental science; Geology; Remote sensing; Geodesy; Telecommunications; Physics; Global Positioning System; Astronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000128672,0.0004140922,0.0001989438,0.0003017443,0.0001860045,0.0002541525,0.0003025358,0.0003515916,0.0007415705],"category_scores_gemma":[0.0003318846,0.0001371549,0.00035924,0.0004083618,0.0002341582,0.0002769098,0.0002509649,0.0001783017,0.00009300251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003749813,"about_ca_system_score_gemma":0.0003098197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01560337,"about_ca_topic_score_gemma":0.009916187,"domain_scores_codex":[0.9999222,0.00001895788,0.000004379374,0.00001275835,0.00001989996,0.00002180637],"domain_scores_gemma":[0.9999058,0.00002655319,0.00001399144,0.00001849283,0.00002227838,0.00001282738],"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":[0.00003509263,0.00001110405,0.005742121,0.00001126595,0.0000150628,0.0001162076,0.00002776254,0.9881107,0.003639801,0.0002866296,0.00008392024,0.001920433],"study_design_scores_gemma":[0.000009603978,0.00002412279,0.004917284,0.000002109219,0.000006916853,0.00002945054,0.00004969999,0.992911,0.001670992,0.0002002041,0.0001713436,0.000007189042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818906,0.00003201963,0.014784,0.00003515307,0.00001190791,0.00002069491,0.0004213419,0.0001982715,0.00260607],"genre_scores_gemma":[0.997143,0.0000245255,0.0023759,0.000003316884,0.000001223218,0.000004594961,0.0002575687,0.000007039363,0.0001829243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01560337,"threshold_uncertainty_score":0.03102511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03374433042962503,"score_gpt":0.3071970056099464,"score_spread":0.2734526751803214,"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."}}