{"id":"W2905415606","doi":"10.1109/oceanskobe.2018.8559148","title":"Sea Ice Detection Based on Unambiguous Retrieval of Scattering Coefficient from GNSS-R Delay-Doppler Maps","year":2018,"lang":"en","type":"article","venue":"","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remote sensing; GNSS applications; Doppler effect; Sea ice; Reflectometry; Computer science; Satellite; Scattering; Geodesy; Geology; Physics; Meteorology; Optics; Astronomy; Computer vision","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001590482,0.0001267294,0.0001240153,0.00004160622,0.0001252402,0.0000181735,0.0001139537,0.00008305695,0.0004964095],"category_scores_gemma":[0.00002870125,0.0001028142,0.00005618504,0.0002542817,0.0002210523,0.00004939279,0.0000703468,0.00009824997,0.000487208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001396171,"about_ca_system_score_gemma":0.000006860938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004989325,"about_ca_topic_score_gemma":0.002223799,"domain_scores_codex":[0.9988538,0.00004345104,0.0001846229,0.0003195506,0.0003856507,0.000212928],"domain_scores_gemma":[0.9994799,0.00005646998,0.00007212703,0.0003006198,0.00001591544,0.0000749801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005320856,0.0002667074,0.01707581,0.00001199977,0.00002735775,0.00002353381,0.0005327935,0.011561,0.8449618,0.0000045505,0.002153861,0.1228485],"study_design_scores_gemma":[0.0005347321,0.0003743126,0.22216,0.00003962975,0.000026732,0.00001032396,0.0000878617,0.1148976,0.6595901,0.00006165735,0.00197479,0.0002422532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9364601,0.000004129312,0.009560755,0.0001467372,0.0004269195,0.0001120589,0.000003569059,0.00005837773,0.05322736],"genre_scores_gemma":[0.9975228,8.657248e-7,0.001389718,0.0007278043,0.0001236774,1.733022e-7,0.000006591612,0.00001562206,0.0002127913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2050842,"threshold_uncertainty_score":0.75424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00901844692568557,"score_gpt":0.2145007665671383,"score_spread":0.2054823196414528,"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."}}