{"id":"W4402479352","doi":"10.1021/acsestwater.4c00389","title":"Using Optimization to Investigate the Adaptive Operation of Reservoirs under the Context of Climate Crisis","year":2024,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Context (archaeology); Environmental science; Climate change; Natural resource economics; Environmental resource management; Computer science; Biochemical engineering; Economics; Geology; Engineering; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004871778,0.0001020035,0.0001228901,0.00008036617,0.00005503879,0.00005324401,0.0001420333,0.00005105223,0.00002471326],"category_scores_gemma":[0.00002041606,0.00005294283,0.00004266682,0.0001903999,0.00003161989,0.0001507663,0.00004970696,0.0001068171,0.000007384393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003036867,"about_ca_system_score_gemma":0.000008957692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004716354,"about_ca_topic_score_gemma":0.000005769296,"domain_scores_codex":[0.9992606,0.00008296085,0.0002562078,0.0001042771,0.0001457787,0.0001501858],"domain_scores_gemma":[0.999543,0.0001035242,0.00001343845,0.0002382183,0.00007239151,0.00002943612],"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":[0.000008026254,0.000001897961,0.00001267881,0.00005454857,0.00004294457,3.752885e-7,0.002365111,0.9817993,0.01425771,0.001190152,0.0001309487,0.0001362791],"study_design_scores_gemma":[0.00007188871,0.00001846347,0.00003114137,0.00005176972,0.00002398716,9.593726e-7,0.0006422404,0.8962649,0.1023356,0.0001398449,0.0003516842,0.00006753817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6105832,0.0001958007,0.3877754,0.0007755706,0.0002437449,0.0001817484,0.000009804398,0.00007447597,0.0001602836],"genre_scores_gemma":[0.9849699,0.00004894704,0.01477813,0.00007913144,0.00004422231,0.00001143388,0.000008093581,0.00003061668,0.00002958457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3743866,"threshold_uncertainty_score":0.2158946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0498166785110371,"score_gpt":0.2985174621735073,"score_spread":0.2487007836624702,"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."}}