{"id":"W4392296289","doi":"10.3390/hydrology11030036","title":"Assessment of Water Quality as a Key Component in the Water–Energy–Food Nexus","year":2024,"lang":"en","type":"article","venue":"Hydrology","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Component (thermodynamics); Water quality; Nexus (standard); Key (lock); Water energy; Environmental science; Water resource management; Natural resource economics; Environmental engineering; Environmental resource management; Engineering; Ecology; Economics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007082491,0.0001878046,0.0002926786,0.00006366675,0.00008668085,0.00001958791,0.0003876509,0.00009458884,0.0007214329],"category_scores_gemma":[0.000005568884,0.00008439238,0.00008554335,0.0001112681,0.0003308568,0.00009095307,0.0005479337,0.0001653166,0.000218851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011792,"about_ca_system_score_gemma":0.000007575516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004450848,"about_ca_topic_score_gemma":0.002859645,"domain_scores_codex":[0.9978861,0.0004531348,0.0003961506,0.000419072,0.000338107,0.0005074425],"domain_scores_gemma":[0.9994392,0.0001101705,0.00003035542,0.0003728369,0.000004755198,0.00004273163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001617781,0.001544923,0.01634718,0.0001618596,0.0004998585,0.0005849101,0.02717702,0.01618858,0.5147055,0.416695,0.003040757,0.002892599],"study_design_scores_gemma":[0.001431618,0.00258746,0.09581986,0.00004673383,0.0001175679,0.0002221994,0.0009366269,0.01381475,0.1383519,0.6205847,0.1251896,0.0008970186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9060454,0.0001040704,0.0001637405,0.006693393,0.0003010885,0.0001054378,0.00001196696,0.00004463899,0.08653028],"genre_scores_gemma":[0.9983887,0.000008204286,0.00005256918,0.000971825,0.00004116978,0.00007879786,0.0000240527,0.00001523169,0.0004194151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3763537,"threshold_uncertainty_score":0.7899184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215782974385377,"score_gpt":0.2777039451697636,"score_spread":0.2561256477312259,"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."}}