{"id":"W2585919616","doi":"","title":"Sensitivity Analysis of Environmental Flow Rule Curves for Water Allocation Optimization: Case Study, the Upper Oldman River Basin, Alberta, Canada","year":2012,"lang":"en","type":"article","venue":"ScholarsArchive  (Brigham Young University)","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sensitivity (control systems); Structural basin; Environmental flow; Hydrology (agriculture); Stream flow; Drainage basin; Water resource management; Geology; Geography; Environmental science; Geomorphology; Cartography; Climatology; Engineering; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002066551,0.0001608521,0.000191833,0.0002741253,0.0002689101,0.00003066033,0.0001362273,0.00002996265,0.00008897892],"category_scores_gemma":[0.000008071283,0.0001314129,0.0001051596,0.0003126421,0.00005926831,0.0005454533,0.00008832193,0.0001056799,0.000002379438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001617526,"about_ca_system_score_gemma":0.00001321378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05667017,"about_ca_topic_score_gemma":0.1008909,"domain_scores_codex":[0.9990646,0.0001552731,0.0001481215,0.0001774372,0.0001881721,0.0002663814],"domain_scores_gemma":[0.9995087,0.00007885214,0.0000454831,0.0002605104,0.00003099554,0.00007540418],"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":[0.00002101345,0.00009753467,0.07970128,0.00003408364,0.001278121,0.00005537668,0.003188394,0.9150966,0.0001235774,0.00002768398,0.0002024847,0.0001738341],"study_design_scores_gemma":[0.001094068,0.00004929568,0.1228293,0.00002497497,0.00422489,0.00003833292,0.004443107,0.8575776,0.001175224,0.000003721474,0.007987429,0.0005520915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536244,0.00003800088,0.04420024,0.00006402954,0.0001447925,0.0006035729,0.0001206656,0.00003490858,0.001169374],"genre_scores_gemma":[0.9970856,0.00003265154,0.001268249,0.00003358562,0.00003440729,0.000002524279,0.0003705276,0.00001937654,0.001153036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05751901,"threshold_uncertainty_score":0.9496115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006220799934130698,"score_gpt":0.1682504957468362,"score_spread":0.1620296958127055,"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."}}