{"id":"W2315560523","doi":"10.1007/s10795-006-2250-3","title":"Paper submitted for the nineth international drainage workshop (ICID)","year":2006,"lang":"en","type":"article","venue":"Irrigation and Drainage Systems","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Drainage; Environmental science; Irrigation; Water table; Water-use efficiency; Agricultural engineering; Surface irrigation; Irrigation management; Deficit irrigation; Water use; Water resource management; Agronomy; Engineering","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":[0.001136247,0.0006527313,0.0009944527,0.001013837,0.00152339,0.003302823,0.001126527,0.001790202,0.2624398],"category_scores_gemma":[0.001913086,0.000219513,0.000722927,0.0008549237,0.0003858132,0.0009186784,0.00138848,0.001045373,0.04671221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236537,"about_ca_system_score_gemma":0.001776144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006426449,"about_ca_topic_score_gemma":0.01347659,"domain_scores_codex":[0.9994403,0.00006352041,0.00003048004,0.00009115779,0.000246383,0.0001282149],"domain_scores_gemma":[0.9983373,0.0001883451,0.00004096972,0.0001190199,0.0009128486,0.0004016306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006468424,0.0001862627,0.0008859231,0.0001865658,0.00002592596,0.0002360731,0.0001471617,0.0004190142,0.003221724,0.001295242,0.9307876,0.06196168],"study_design_scores_gemma":[0.00006363899,0.0001211392,0.002459216,0.00006136705,0.00002034876,0.00004348784,0.0001880082,0.000318228,0.00119924,0.0008693932,0.994643,0.00001295243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03778327,0.008483741,0.01103877,0.06567559,0.3252866,0.001841796,0.0135943,0.001730288,0.5345656],"genre_scores_gemma":[0.02510089,0.001684429,0.001943046,0.002136478,0.00737026,0.000162151,0.002860356,0.0004067749,0.9583355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2624398,"threshold_uncertainty_score":0.8779485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008070149441299551,"score_gpt":0.2141081245018293,"score_spread":0.2060379750605297,"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."}}