{"id":"W4394676344","doi":"10.3390/rs16081328","title":"Recent Advances in Dielectric Properties-Based Soil Water Content Measurements","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"Henan Agricultural University; National Natural Science Foundation of China","keywords":"Reflectometry; Ground-penetrating radar; Water content; Dielectric; Environmental science; Soil water; Soil science; Permittivity; Remote sensing; Soil texture; Dielectric permittivity; Time domain; Materials science; Radar; Computer science; Geology; Geotechnical engineering; Telecommunications; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000397584,0.0002137986,0.0001989545,0.0001127045,0.000108694,0.00008349863,0.00008230834,0.00008263319,0.00002984603],"category_scores_gemma":[0.00004916429,0.000137732,0.00007532892,0.0003998017,0.00008963356,0.0001945017,0.00005734012,0.0002465182,0.0003294679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005417303,"about_ca_system_score_gemma":0.00002492629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005086363,"about_ca_topic_score_gemma":0.002223064,"domain_scores_codex":[0.9981342,0.0001066403,0.0002906832,0.0004737246,0.0004659451,0.0005288401],"domain_scores_gemma":[0.9996323,0.0000255649,0.00002697143,0.000215504,0.00001782025,0.00008185842],"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":[0.0000256358,0.00001152982,0.0001144202,0.00002479018,0.000006712741,0.00008979085,0.0002553452,0.003869389,0.1968962,2.020696e-7,0.00004406222,0.7986619],"study_design_scores_gemma":[0.0004895201,0.00007728351,0.001340473,0.0007337668,0.00003442415,0.00007078665,0.00008433006,0.5212643,0.3912507,0.0001791396,0.08398881,0.0004864319],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274724,0.013808,0.002675152,0.002290383,0.001252906,0.0004541419,2.188403e-7,0.000259363,0.05178744],"genre_scores_gemma":[0.9971092,0.0007356444,0.001148406,0.000526787,0.0001009668,1.706754e-8,0.000003381533,0.00003600503,0.0003395513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7981756,"threshold_uncertainty_score":0.5616549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04661322650451332,"score_gpt":0.2413726142044869,"score_spread":0.1947593876999736,"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."}}