{"id":"W2009847233","doi":"10.2136/vzj2003.4760","title":"Measuring Soil Water Content with Ground Penetrating Radar: A Review","year":2003,"lang":"en","type":"review","venue":"Vadose Zone Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":707,"is_retracted":false,"has_abstract":true,"ca_institutions":"JDA Software (Canada)","funders":"U.S. Department of Agriculture","keywords":"Ground-penetrating radar; Water content; Environmental science; Remote sensing; Radar; Soil science; Groundwater; Content (measure theory); Soil water; Borehole; Measure (data warehouse); Reflection (computer programming); Hydrology (agriculture); Geology; Geotechnical engineering; Engineering; Computer science; Mathematics","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":[0.0008330179,0.001051563,0.001895003,0.002500317,0.0001894499,0.0007803463,0.00110583,0.0009479107,0.001680148],"category_scores_gemma":[0.001225445,0.0003953279,0.0004588114,0.002856,0.0003019845,0.001396126,0.0003487632,0.0004261904,0.002136483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273314,"about_ca_system_score_gemma":0.0006342518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323968,"about_ca_topic_score_gemma":0.001599377,"domain_scores_codex":[0.9996184,0.00005201672,0.00005007029,0.00008508353,0.0001770358,0.00001730974],"domain_scores_gemma":[0.9993327,0.0002991245,0.00007417122,0.00001913348,0.0002527898,0.00002195793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004062543,0.00005901997,0.0007720686,0.01155119,0.00008854635,0.0001648929,0.00004388301,0.0008834918,0.005588717,0.0006396926,0.005363357,0.9748045],"study_design_scores_gemma":[0.0000382107,0.0007205355,0.009942992,0.006884919,0.0006292959,0.004296872,0.0003882524,0.001606976,0.02318703,0.00317565,0.9489802,0.0001491131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001720385,0.9901271,0.005288206,0.0001868016,0.0001449608,0.00002662106,0.0001015774,0.00004716242,0.002357177],"genre_scores_gemma":[0.004028931,0.9898404,0.004733687,0.0001134712,0.00009091647,0.00002979452,0.0001189316,0.000007157814,0.001036764],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002500317,"threshold_uncertainty_score":0.005620599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.13956662460856,"score_gpt":0.2943876943113434,"score_spread":0.1548210697027834,"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."}}