{"id":"W4385569549","doi":"10.14796/jwmm.c503","title":"Spatial and Temporal Analysis of Nitrate Dynamics along the Tigris River","year":2023,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Hydrology (agriculture); Nitrate; Water quality; Irrigation; Dilution; Spatial distribution; Spatial variability; Ecology; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001154163,0.0001473192,0.0001920216,0.0005803992,0.0002082656,0.0002824805,0.000228401,0.0002080729,0.0003097535],"category_scores_gemma":[0.0001743384,0.0001016222,0.0002047567,0.0006279378,0.0001545391,0.0001511125,0.0002240636,0.0001275451,0.0000596519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007712165,"about_ca_system_score_gemma":0.0005250779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07102956,"about_ca_topic_score_gemma":0.0989631,"domain_scores_codex":[0.9999473,0.000006367635,0.000002937475,0.00002016901,0.000009626807,0.00001354153],"domain_scores_gemma":[0.9999421,0.00001282506,0.00001659417,0.000005587678,0.00001448271,0.000008481376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002265795,0.0001251456,0.9086795,0.00006919147,0.0001449288,0.0004866608,0.0006258608,0.03043529,0.02829499,0.0005382954,0.0005591176,0.02981432],"study_design_scores_gemma":[0.000004461077,0.00004420331,0.9594238,0.000007389664,0.00003402281,0.00006501302,0.0003659193,0.03817903,0.00124058,0.00007220262,0.0005520994,0.00001139224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992149,0.00001783262,0.00019635,0.00001159751,0.00000139383,0.000002417001,0.0001509538,0.00001371082,0.0003908105],"genre_scores_gemma":[0.9992235,0.00002687317,0.0002927289,0.00000293447,0.000001144011,0.000005262808,0.0002775647,0.000001339047,0.0001685925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07102956,"threshold_uncertainty_score":0.1412322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234455487202207,"score_gpt":0.2122698274652649,"score_spread":0.1999252725932428,"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."}}