{"id":"W2799710336","doi":"","title":"Hydrological and water temperature modelling for dam decommissioning and climate change studies.","year":2017,"lang":"en","type":"article","venue":"European Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drawdown (hydrology); Environmental science; Hydrology (agriculture); Climate change; Nuclear decommissioning; Water level; Drainage basin; Hydroelectricity; Streamflow; Representative Concentration Pathways; Climate model; Geology; Groundwater; Geography; Aquifer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009334224,0.0005601789,0.0004762698,0.0003779768,0.0004621441,0.0007553995,0.001268807,0.001327147,0.003003499],"category_scores_gemma":[0.001790667,0.0004206446,0.0007511532,0.0009245675,0.0002962727,0.001124613,0.0005249192,0.0008455806,0.0003711313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463173,"about_ca_system_score_gemma":0.002422285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09056924,"about_ca_topic_score_gemma":0.09587041,"domain_scores_codex":[0.9997676,0.000123931,0.00001283671,0.00003784259,0.00003128677,0.00002641453],"domain_scores_gemma":[0.9993963,0.0002499319,0.00007071306,0.00005757117,0.0001427799,0.00008270451],"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":[0.00003239573,0.00007572171,0.007527939,0.00004953048,0.00005941884,0.00006001081,0.00004342182,0.9790525,0.0008712872,0.002969577,0.002819372,0.006438748],"study_design_scores_gemma":[0.00001947775,0.00001221241,0.002706055,0.000007268134,0.00001482431,0.000009660298,0.00002448664,0.9933251,0.0002033088,0.001089415,0.002577634,0.00001065476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5937074,0.002488506,0.3389741,0.005410305,0.0007362784,0.0004779904,0.02303078,0.002933277,0.03224128],"genre_scores_gemma":[0.9514393,0.0007357317,0.03766333,0.0001723149,0.0001133397,0.0003215239,0.004296846,0.0001410035,0.005116658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09056924,"threshold_uncertainty_score":0.1800841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05960760725401389,"score_gpt":0.2732242114512033,"score_spread":0.2136166041971894,"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."}}