{"id":"W4220908454","doi":"10.5194/egusphere-egu22-5826","title":"Optimization of pumping rates in an island freshwater lens considering parameter, observation, and climate uncertainty","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"","keywords":"Groundwater recharge; MODFLOW; Uncertainty analysis; Environmental science; Aquifer; Climate model; Groundwater; Climate change; Computer science; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003747794,0.0004194655,0.0003455118,0.0003085516,0.0002814254,0.0006952196,0.0003506354,0.0004155229,0.0006955963],"category_scores_gemma":[0.001023419,0.0002458303,0.0003793213,0.0003892502,0.0003098164,0.0005174613,0.0005830359,0.0003244519,0.00005993335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110432,"about_ca_system_score_gemma":0.001640213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03326056,"about_ca_topic_score_gemma":0.0275061,"domain_scores_codex":[0.999912,0.00001928023,0.000005131531,0.00002297305,0.00001651864,0.00002399234],"domain_scores_gemma":[0.9997858,0.0001114638,0.00003298818,0.00001408635,0.00003576689,0.00001991293],"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":[0.00001969946,0.000009001745,0.001121237,0.000008650489,0.0000060383,0.00001861926,0.00001049044,0.9919829,0.001686136,0.0004028038,0.00005537625,0.004679046],"study_design_scores_gemma":[0.0000033326,0.00001441555,0.0004142244,0.000001139923,0.00000357054,0.000002703758,0.00001007727,0.9978961,0.001383716,0.0001740499,0.00009320975,0.000003475208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7949443,0.00007816008,0.1973503,0.0001694946,0.0000113149,0.00006669192,0.0003328401,0.000285274,0.006761658],"genre_scores_gemma":[0.9752254,0.00004062909,0.02375881,0.000009130406,0.000001633453,0.00002993814,0.00007759396,0.00003328838,0.000823596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03326056,"threshold_uncertainty_score":0.06613392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05560197760426314,"score_gpt":0.3020385350855053,"score_spread":0.2464365574812421,"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."}}