{"id":"W2100766344","doi":"10.4038/josuk.v5i0.4089","title":"Simulation of nitrate leaching in Yala season in Batticaloa - A modeling approach","year":2012,"lang":"en","type":"article","venue":"Journal of Science of the University of Kelaniya","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Lysimeter; Leaching (pedology); Irrigation; Nitrate; Environmental science; Nitrogen; Kharif crop; Fertilizer; Leachate; Mathematics; Hydrology (agriculture); Field experiment; Chemistry; Soil science; Agronomy; Soil water; Environmental chemistry; Statistics; Biology; Geology","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":[0.0002812079,0.000649268,0.0006057858,0.000302143,0.0004831082,0.000925693,0.0009036225,0.001213927,0.0008982568],"category_scores_gemma":[0.000412636,0.0003801747,0.0007788326,0.0004191088,0.0003119317,0.0004319462,0.0004519467,0.0003949896,0.0001349071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391261,"about_ca_system_score_gemma":0.001415973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07736614,"about_ca_topic_score_gemma":0.05712941,"domain_scores_codex":[0.9999152,0.00001900637,0.000005618107,0.00002296103,0.000009735431,0.0000274399],"domain_scores_gemma":[0.9997945,0.0001015093,0.00003012912,0.000008363778,0.00003774428,0.00002768268],"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":[0.00008195878,0.0000496762,0.004318922,0.00002920957,0.00001704972,0.00008540509,0.00003111116,0.9916458,0.002420301,0.0002185378,0.00006249073,0.001039639],"study_design_scores_gemma":[0.00001733771,0.00004516284,0.001060835,0.000003192607,0.000007862681,0.00000842703,0.00003660563,0.9982665,0.0003443455,0.0000862056,0.0001187409,0.000004798565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989213,0.0001250498,0.007173037,0.0001053018,0.00001114962,0.00004586529,0.0004217986,0.0001324156,0.002772207],"genre_scores_gemma":[0.9940844,0.0001292611,0.004238957,0.00001613996,0.000003954414,0.00009222896,0.000282467,0.00001427562,0.001138358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07736614,"threshold_uncertainty_score":0.1538317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448986421515752,"score_gpt":0.221936406838329,"score_spread":0.1874465426231715,"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."}}