{"id":"W2771118385","doi":"10.13031/aea.12252","title":"Enhancing Subsurface Drainage to Control Salinity in Dryland Agriculture","year":2017,"lang":"en","type":"article","venue":"Applied Engineering in Agriculture","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage; Hydrology (agriculture); Leaching (pedology); Environmental science; Soil water; Infiltration (HVAC); Soil salinity; Watertable control; Vadose zone; Irrigation; Groundwater; Precipitation; Salinity; Soil salinity control; Geology; Leaching model; Soil science; Agronomy; Geotechnical engineering; Geography; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000190023,0.000178083,0.0002682157,0.0002339055,0.0002234272,0.0004899407,0.0002667689,0.000114292,0.0004356858],"category_scores_gemma":[0.0001837164,0.0000853063,0.0001339729,0.0002592927,0.0002051179,0.0001898551,0.0003197631,0.0002497811,0.00007015271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008615547,"about_ca_system_score_gemma":0.0006567574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005121104,"about_ca_topic_score_gemma":0.01313203,"domain_scores_codex":[0.9999284,0.00001609003,0.000007597188,0.00001836782,0.00001483952,0.00001474326],"domain_scores_gemma":[0.9998507,0.00002308905,0.0000459348,0.000007819807,0.00002875996,0.00004372495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004915124,0.0003717679,0.03126212,0.0002027096,0.00003013647,0.0001438595,0.0001687274,0.001287068,0.9381888,0.0001301684,0.0001494425,0.02757375],"study_design_scores_gemma":[0.0004165329,0.0102943,0.6483279,0.00008389745,0.0001561827,0.0004281043,0.001619491,0.0109817,0.3067681,0.0005862281,0.02029391,0.00004353074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980921,0.0001646871,0.0009664018,0.00002892875,0.000005216393,0.00004181295,0.00006787986,0.0000269477,0.0006059281],"genre_scores_gemma":[0.995092,0.0003267738,0.003369082,0.00008701623,0.000004984906,0.0000435198,0.0003034878,0.000008022502,0.0007650118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005121104,"threshold_uncertainty_score":0.01018262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003689768894835397,"score_gpt":0.1793889782092009,"score_spread":0.1756992093143655,"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."}}