{"id":"W2054962612","doi":"10.1007/s11269-007-9186-8","title":"Interval-parameter Two-stage Stochastic Nonlinear Programming for Water Resources Management under Uncertainty","year":2007,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Interval (graph theory); Context (archaeology); Stochastic programming; Water resources; Computer science; Mathematical optimization; Nonlinear system; Function (biology); Stage (stratigraphy); Water supply; Scale (ratio); Resource allocation; Operations research; Environmental science; Mathematics; Environmental 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":[0.004320577,0.001595963,0.002539193,0.0007334184,0.0005103333,0.00205102,0.002242708,0.00335884,0.003753074],"category_scores_gemma":[0.01068701,0.001551286,0.001505559,0.001128228,0.001570208,0.002585472,0.001940863,0.002778905,0.0002205174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000858,"about_ca_system_score_gemma":0.001850451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008273656,"about_ca_topic_score_gemma":0.00533389,"domain_scores_codex":[0.9985567,0.0008310059,0.00005039075,0.0001760799,0.0002225731,0.0001632822],"domain_scores_gemma":[0.9950971,0.004102683,0.0002663777,0.000080112,0.0003118512,0.0001417951],"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":[0.00003010069,0.0000219422,0.000103914,0.00003336466,0.00001959014,0.0000245474,0.00001796657,0.9889151,0.0001243288,0.008639795,0.0001589611,0.001910401],"study_design_scores_gemma":[0.000004950283,0.00001045261,0.00002817166,0.000002828195,0.000003807692,0.000001914624,0.000002649746,0.9968861,0.00003397541,0.002958365,0.0000628794,0.00000394811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0234304,0.0004755014,0.9708953,0.0003991382,0.00006525185,0.00007603742,0.0001211705,0.0001036885,0.004433536],"genre_scores_gemma":[0.8620005,0.0007673121,0.1287908,0.0001564417,0.00009893803,0.0004805711,0.0002947646,0.0001200047,0.00729073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008273656,"threshold_uncertainty_score":0.02284968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386017096388166,"score_gpt":0.234992498951664,"score_spread":0.2211323279877824,"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."}}