{"id":"W17715472","doi":"10.1023/a:1025101217521","title":"Retrieving Soil Moisture Storage in the Unsaturated Zone Using Satellite Imagery and Bi-Annual Phreatic Surface Fluctuations","year":2003,"lang":"en","type":"article","venue":"Irrigation and Drainage Systems","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Phreatic; Water content; Water table; Vadose zone; Groundwater; Environmental science; Soil science; Moisture; Hydrology (agriculture); DNS root zone; Water balance; Pedotransfer function; Soil water; Aquifer; Geology; Hydraulic conductivity; Geography; Geotechnical engineering; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002117939,0.0003812897,0.0003487696,0.0009211804,0.0002564586,0.000519618,0.0003470325,0.0004206015,0.0006282575],"category_scores_gemma":[0.0005296191,0.0003328549,0.0002620584,0.001326757,0.000162375,0.00088246,0.0002634964,0.0001735422,0.0001593554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005283912,"about_ca_system_score_gemma":0.0005493286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02827957,"about_ca_topic_score_gemma":0.04602041,"domain_scores_codex":[0.9999483,0.000005205222,0.000005594036,0.0000172106,0.00001035147,0.0000133576],"domain_scores_gemma":[0.9998617,0.00003727262,0.00002732411,0.00001568221,0.0000303102,0.00002772113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008585278,0.0002837847,0.6422665,0.0001687159,0.0004217796,0.0004328534,0.0003363942,0.1644996,0.08081695,0.0006985522,0.001571056,0.1076453],"study_design_scores_gemma":[0.00006889927,0.00005245175,0.5559514,0.00001010521,0.0001266232,0.00009616544,0.0002140225,0.435647,0.006849544,0.0004540278,0.0004948629,0.0000349026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997449,0.00006585319,0.00145118,0.00002130877,0.000003191888,0.000004917717,0.000475491,0.0001202766,0.0004087436],"genre_scores_gemma":[0.9981967,0.00003683538,0.001225813,0.000004030515,0.000003924889,0.000002562457,0.0004085578,0.00000740608,0.0001142728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02827957,"threshold_uncertainty_score":0.05622995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162503762712078,"score_gpt":0.2277066038234055,"score_spread":0.2160815661962848,"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."}}