{"id":"W2154724044","doi":"","title":"Effects of watertable depth, irrigation water salinity, and fertilizer application on root zone salt buildup","year":2000,"lang":"en","type":"article","venue":"Canadian agricultural engineering","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salinity; Water table; Soil water; Soil salinity; Irrigation; Fertilizer; Soil salinity control; Environmental science; DNS root zone; Leaching model; Well drainage; Loam; Hydrology (agriculture); Agronomy; Soil science; Groundwater; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003714809,0.0001175147,0.000103855,0.00002873492,0.00006320446,0.00001818964,0.00005862984,0.00006991107,0.00004042307],"category_scores_gemma":[0.000005495127,0.00007102581,0.00002461185,0.0000975716,0.00002235034,0.00009225552,0.00001137042,0.00008162032,0.0001070552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138153,"about_ca_system_score_gemma":0.000002898422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04338641,"about_ca_topic_score_gemma":0.08132238,"domain_scores_codex":[0.9993606,0.000008987824,0.0001114578,0.0001724542,0.00009971529,0.0002468115],"domain_scores_gemma":[0.9997001,0.0000180241,0.00001272149,0.00008069226,0.000005522302,0.0001829931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001058487,0.00001937047,0.002351205,0.00007723587,0.00002125644,0.00001248858,0.0007697156,0.06094338,0.8566027,0.00004423273,0.0003323648,0.07881548],"study_design_scores_gemma":[0.0001804653,0.00002872334,0.7895156,0.00004042189,0.00001602878,0.00001523241,0.000009819199,0.002715227,0.2034824,0.00001704138,0.00379883,0.0001801936],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951289,0.00003689235,0.00004813016,0.0001626584,0.00006050825,0.000182994,5.966384e-7,0.00002948056,0.004349839],"genre_scores_gemma":[0.9992618,0.000005316437,0.0001653271,0.00006650906,0.00004598947,0.000003165793,0.00002054593,0.000009239445,0.0004221152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7871644,"threshold_uncertainty_score":0.9629838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00191713016648268,"score_gpt":0.1496022516766324,"score_spread":0.1476851215101497,"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."}}