{"id":"W3164409256","doi":"10.3390/rs13112032","title":"Computation Approach for Quantitative Dielectric Constant from Time Sequential Data Observed by CYGNSS Satellites","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Remote sensing; Reflectometry; Water content; GNSS applications; Environmental science; Radiometer; Dielectric; Satellite; Computer science; Geology; Global Positioning System; Materials science; Physics; Telecommunications","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":[0.0006008559,0.0008927959,0.0004592186,0.002300738,0.0003464032,0.0009650334,0.0008949289,0.000276085,0.001535686],"category_scores_gemma":[0.002509009,0.0003262077,0.0007187219,0.001298553,0.0003174392,0.001260015,0.0006342645,0.0008593472,0.000703137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007329097,"about_ca_system_score_gemma":0.0009912646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006183875,"about_ca_topic_score_gemma":0.00547791,"domain_scores_codex":[0.9995596,0.00005935107,0.00002691366,0.0001106603,0.0002105228,0.00003291567],"domain_scores_gemma":[0.9994093,0.0002025252,0.00007709544,0.00007655825,0.0002141422,0.00002041383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001510927,0.00009109821,0.007974864,0.0004146913,0.0001642235,0.000348846,0.0002742333,0.4043708,0.07607956,0.03840037,0.002765821,0.4689643],"study_design_scores_gemma":[0.00001212224,0.0000422185,0.00236345,0.00001765108,0.0000230352,0.0001001908,0.0000708197,0.9725174,0.01103654,0.007919323,0.00587205,0.00002529037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008305565,0.00009849619,0.9900627,0.00003904516,0.0000220677,0.00003006093,0.0001215231,0.0004281292,0.0008923399],"genre_scores_gemma":[0.1541876,0.0006154102,0.841351,0.00004042216,0.00008666934,0.0001749252,0.0008497318,0.0002966831,0.002397505],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006183875,"threshold_uncertainty_score":0.01229572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0663629998403586,"score_gpt":0.2789442513954802,"score_spread":0.2125812515551216,"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."}}