{"id":"W2293730926","doi":"10.1680/jensu.15.00024","title":"Water resource vulnerability: simulation and optimisation models","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Engineering Sustainability","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Economic and Social Research Council; Engineering and Physical Sciences Research Council; European Commission; Sight Research UK; Canadian Centre for Applied Research in Cancer Control","keywords":"Vulnerability (computing); Climate change; Resource (disambiguation); Baseline (sea); Environmental science; Simulation modeling; Adaptation (eye); Climate model; Environmental resource management; Computer science; Environmental economics; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004496861,0.0002046067,0.0002253343,0.0001903969,0.00005425264,0.00002267694,0.0001990313,0.0001030125,0.000006219758],"category_scores_gemma":[0.0002625216,0.000128466,0.0000809793,0.0002385525,0.0001319977,0.0006664101,0.00009767572,0.0001029568,2.399526e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002574502,"about_ca_system_score_gemma":0.00001036407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005388902,"about_ca_topic_score_gemma":8.173138e-7,"domain_scores_codex":[0.9988644,0.000006048107,0.0004142875,0.0002062339,0.0002548286,0.0002542513],"domain_scores_gemma":[0.9993565,0.00005266331,0.00006418923,0.0001752801,0.000297167,0.00005420555],"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":[0.00001849308,0.0000159198,0.0005069458,0.0009492246,0.00002960713,6.312295e-8,0.0005821614,0.9869182,0.005189875,0.004992276,0.00002309708,0.000774103],"study_design_scores_gemma":[0.0004295086,0.00002880139,0.001043098,0.0001289129,0.00004214912,0.000001063398,0.0001194615,0.9587737,0.03548572,0.00234141,0.001393415,0.0002127872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8357138,0.0000608563,0.1620422,0.000254214,0.0001202155,0.0005441002,0.000004862057,0.0002868344,0.000972842],"genre_scores_gemma":[0.9992462,0.00001236801,0.0005840388,0.000003117026,0.00003281402,0.0000242073,0.000002012009,0.00002628544,0.00006893669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1635324,"threshold_uncertainty_score":0.523869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007646819392097884,"score_gpt":0.1919529821853345,"score_spread":0.1843061627932366,"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."}}