{"id":"W2118141117","doi":"10.1371/journal.pone.0114889","title":"A Hydro-Economic Model for Water Level Fluctuations: Combining Limnology with Economics for Sustainable Development of Hydropower","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Water resources management and optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Universität Basel","keywords":"Hydropower; Environmental science; Water level; Climate change; Context (archaeology); Water supply; Water resources; Limnology; Water resource management; Hydrology (agriculture); Natural resource economics; Ecology; Environmental engineering; Economics; Geography","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":[0.0008196895,0.0005747662,0.0006965147,0.0004927734,0.0004673049,0.001134541,0.001018472,0.001237785,0.002527711],"category_scores_gemma":[0.001832063,0.000460183,0.0007386446,0.000831344,0.001062505,0.001465291,0.001094108,0.001061534,0.0002961386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335227,"about_ca_system_score_gemma":0.00151025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008673181,"about_ca_topic_score_gemma":0.007089726,"domain_scores_codex":[0.9997168,0.0001502024,0.00001282931,0.00004266763,0.00004841834,0.00002902618],"domain_scores_gemma":[0.9994677,0.0003286128,0.00007915197,0.00001959483,0.00005963166,0.00004546491],"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":[0.000004546021,0.000009603506,0.0002038593,0.00001271274,0.000007878676,0.00002531136,0.000008826038,0.9777053,0.0001192749,0.02045166,0.0002598265,0.001191137],"study_design_scores_gemma":[0.000003416632,0.000004411561,0.00008049649,0.000002767842,0.00000272112,0.000005484577,0.000004432245,0.9921154,0.0000222283,0.007262043,0.0004927463,0.000003808472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04358505,0.0007615716,0.9320575,0.002219664,0.0001290604,0.00009628534,0.0003897515,0.0001286689,0.02063242],"genre_scores_gemma":[0.8783391,0.001497262,0.09741821,0.0003748489,0.0001509508,0.0006554279,0.0002908735,0.0001346693,0.02113863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008673181,"threshold_uncertainty_score":0.01724541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173068003307512,"score_gpt":0.1857717538085098,"score_spread":0.1540410737754347,"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."}}