{"id":"W2008743565","doi":"10.4296/cwrj2601129","title":"Modelling the Soil Water Balance of a Sugarcane Crop in Sindh, Pakistan with SWAP93","year":2001,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lysimeter; Evapotranspiration; Drainage; Environmental science; Hydrology (agriculture); Water balance; Water table; Soil water; Irrigation; Growing season; Agronomy; Soil science; Geology; Groundwater; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000218648,0.0004173086,0.0004554134,0.0002536238,0.0006401324,0.0006991396,0.0006545993,0.0007084355,0.001432121],"category_scores_gemma":[0.0004877355,0.0003081518,0.0003508697,0.0006417631,0.0006077886,0.0005030804,0.0003486583,0.0004156659,0.0001402908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002190647,"about_ca_system_score_gemma":0.002048423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2258095,"about_ca_topic_score_gemma":0.1856183,"domain_scores_codex":[0.9999037,0.00001596323,0.000004272095,0.00002085567,0.00001961452,0.00003552355],"domain_scores_gemma":[0.9997352,0.0001176116,0.00002456844,0.00001487195,0.00007416275,0.000033686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009945911,0.00004686936,0.01261405,0.00003091283,0.0000194118,0.0001677464,0.00005907894,0.9821025,0.00147168,0.0003552781,0.0002753292,0.00275755],"study_design_scores_gemma":[0.00006711309,0.00007306619,0.009933738,0.000003868679,0.00001629163,0.00002124861,0.0001225225,0.9880042,0.001157321,0.0002147502,0.0003717472,0.00001419434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964683,0.00001535139,0.001203902,0.00004664819,0.000005177026,0.00002096952,0.0004826117,0.00004227411,0.001714676],"genre_scores_gemma":[0.9986099,0.00002542057,0.0006884131,0.000007486174,0.000001643455,0.00001624589,0.0002444097,0.000004647774,0.0004017652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2258095,"threshold_uncertainty_score":0.4489902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009997602440484511,"score_gpt":0.1785980299936419,"score_spread":0.1686004275531574,"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."}}