{"id":"W2290497505","doi":"10.23919/oceans.2015.7401833","title":"A process to simulate GNSS-R delay-Doppler map of tsunami-dominant sea surface","year":2015,"lang":"en","type":"article","venue":"","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geology; GNSS applications; Doppler effect; Perturbation (astronomy); Geodesy; Scattering; Remote sensing; Meteorology; Seismology; Satellite; Physics; Optics","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":[0.0002962312,0.0004723168,0.0002526551,0.0003419096,0.0003744363,0.0003618849,0.0005073756,0.0004590857,0.00232377],"category_scores_gemma":[0.0005444612,0.0001647071,0.0003825075,0.0002934596,0.00018523,0.0003450309,0.0003570383,0.0004930111,0.0003736804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231566,"about_ca_system_score_gemma":0.0004110838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00580387,"about_ca_topic_score_gemma":0.002475449,"domain_scores_codex":[0.9999222,0.00001446662,0.000004492014,0.00001899326,0.00002768497,0.00001224552],"domain_scores_gemma":[0.9998053,0.00008644649,0.00001539945,0.00002611124,0.00004995958,0.00001683991],"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":[0.0001016969,0.0001043671,0.003008931,0.00003810363,0.00003015574,0.0001175057,0.00009528848,0.9593572,0.01081879,0.003947847,0.0005109064,0.02186918],"study_design_scores_gemma":[0.00001299536,0.00002709127,0.0001646281,0.000001178349,0.000004473392,0.0000098011,0.000005017488,0.9962081,0.002740816,0.0003598653,0.0004629813,0.00000311657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1271451,0.00005757257,0.8655479,0.00006912908,0.00006682951,0.0001268099,0.0003150786,0.003134845,0.003536707],"genre_scores_gemma":[0.813997,0.00009706349,0.182931,0.00002677481,0.00001773779,0.0002192823,0.0004977902,0.0001515118,0.002061862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00580387,"threshold_uncertainty_score":0.01154017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742996110246422,"score_gpt":0.2643919556183678,"score_spread":0.2469619945159035,"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."}}