{"id":"W2092726758","doi":"10.1007/s11269-010-9612-1","title":"Integrated Reservoir Management System for Adaptation to Climate Change: The Nakdong River Basin in Korea","year":2010,"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":"Western University","funders":"","keywords":"Climate change; Environmental science; Structural basin; Inflow; Hydrology (agriculture); Water resources; Hydrogeology; Drainage basin; Effects of global warming; Water resource management; Global warming; Geology; Meteorology; Geomorphology; Geography; Ecology","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":[0.0005725679,0.0005009866,0.0007370457,0.0006298813,0.0008206684,0.001088728,0.0009107803,0.0005551295,0.001312764],"category_scores_gemma":[0.0005079129,0.000396863,0.0004551416,0.0007452345,0.0002838068,0.0009701937,0.0009779824,0.0003126498,0.000130943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221861,"about_ca_system_score_gemma":0.002764415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04194101,"about_ca_topic_score_gemma":0.05062131,"domain_scores_codex":[0.9997092,0.00006214157,0.00003392368,0.00007650867,0.00004441083,0.00007366374],"domain_scores_gemma":[0.9996715,0.00003853084,0.00004575654,0.00003736803,0.0001246458,0.00008227213],"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":[0.0005546443,0.0006190039,0.06968625,0.000122051,0.0003682756,0.0009586489,0.0004259379,0.8385306,0.01714623,0.001365953,0.002747748,0.06747467],"study_design_scores_gemma":[0.00007014073,0.0001385756,0.01592168,0.000005105098,0.0001439855,0.00004744502,0.0003301776,0.980727,0.001467237,0.0002635999,0.0008489656,0.00003605698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867299,0.00007938468,0.01050306,0.0001726135,0.0000204031,0.00009472189,0.0002915245,0.000415785,0.001692803],"genre_scores_gemma":[0.9970275,0.00002810617,0.002116919,0.000008747776,0.000003112258,0.00002623586,0.0001681084,0.000009055049,0.0006123898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04194101,"threshold_uncertainty_score":0.08339381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602845627461046,"score_gpt":0.2035964901231508,"score_spread":0.1875680338485403,"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."}}