{"id":"W2049296874","doi":"10.1007/s00477-012-0632-7","title":"Risk assessment of agricultural irrigation water under interval functions","year":2012,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Water resources management and optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Irrigation; Agriculture; Interval (graph theory); Stochastic programming; Computer science; Farm water; Water supply; Water resource management; Irrigation district; Water resources; Risk analysis (engineering); Agricultural engineering; Water conservation; Mathematical optimization; Environmental science; Business; Mathematics; Environmental engineering; 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":[0.0018649,0.0007090738,0.0005961898,0.0008507801,0.0001659634,0.001087235,0.0007681733,0.0009934949,0.0009658539],"category_scores_gemma":[0.00434078,0.0002764008,0.0005783419,0.0007301008,0.0005332296,0.001265628,0.0007906891,0.0005008087,0.0000685975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008174817,"about_ca_system_score_gemma":0.000400229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00187307,"about_ca_topic_score_gemma":0.000711844,"domain_scores_codex":[0.9993462,0.0002820244,0.00002107592,0.00007973181,0.0001796022,0.00009126872],"domain_scores_gemma":[0.9977624,0.001640668,0.0002456777,0.00006758889,0.0002226588,0.00006088348],"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":[0.00008740774,0.00001605943,0.0007353211,0.00001913895,0.00002614371,0.00005756564,0.00001884265,0.9888853,0.001075561,0.004245987,0.00008474918,0.004747905],"study_design_scores_gemma":[0.000004685263,0.00004747792,0.0003042671,0.000002819319,0.00001156163,0.00001592879,0.00001039727,0.9966651,0.0003844166,0.002483133,0.00006478078,0.000005523944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.520061,0.0005937149,0.472334,0.0002903288,0.00002936405,0.00004374179,0.0001511517,0.0001650545,0.006331736],"genre_scores_gemma":[0.9922847,0.0001625401,0.006380768,0.00001222933,0.00001411229,0.00001998864,0.00005468336,0.0000144997,0.001056533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00187307,"threshold_uncertainty_score":0.009862602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622450397189319,"score_gpt":0.2746506740822901,"score_spread":0.2584261701103969,"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."}}