{"id":"W3173420172","doi":"10.5267/j.uscm.2021.5.006","title":"Towards a deterministic sustainable cost-effective water supply chain","year":2021,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Water supply; Supply chain; Environmental economics; Computer science; Water resources; Variable (mathematics); Order (exchange); Integer programming; Linear programming; Population; Production (economics); Supply chain network; Operations research; Business; Supply chain management; Environmental science; Environmental engineering; Economics; Engineering; Mathematics; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004874561,0.0004862891,0.0003947224,0.0003978144,0.0002288281,0.0003427289,0.0004062601,0.0001155593,0.0008969715],"category_scores_gemma":[0.00002260414,0.0004381277,0.0001594244,0.0005081129,0.00006241928,0.0002487457,0.0004750251,0.0002090902,0.0002133676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004930326,"about_ca_system_score_gemma":0.00001339266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000521127,"about_ca_topic_score_gemma":0.00003892773,"domain_scores_codex":[0.9971783,0.0001376738,0.000430717,0.0006194059,0.0004619985,0.001171945],"domain_scores_gemma":[0.9989849,0.00004475309,0.00004167949,0.000640141,0.0001209538,0.0001676094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001308151,0.0003081583,0.001085268,0.003541946,0.001102293,0.005902281,0.007093283,0.8039995,0.0004776474,0.02060787,0.02691228,0.1288386],"study_design_scores_gemma":[0.002326119,0.0001322858,0.001125545,0.0001555257,0.000258497,0.00001680399,0.005351531,0.2433573,0.008498622,0.00270158,0.7349079,0.001168353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1102464,0.002088608,0.4050519,0.006277924,0.003382454,0.02500843,0.0001330011,0.004825104,0.4429862],"genre_scores_gemma":[0.9440596,0.000296192,0.003013483,0.0005592958,0.0002404996,0.002324111,0.000755337,0.0001544088,0.04859707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8338133,"threshold_uncertainty_score":0.9998071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007611081959905312,"score_gpt":0.2125943265226653,"score_spread":0.20498324456276,"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."}}