{"id":"W2799555431","doi":"10.1029/2017rg000591","title":"The Global Food‐Energy‐Water Nexus","year":2018,"lang":"en","type":"article","venue":"Reviews of Geophysics","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":770,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Nature Conservancy; National Science Foundation","keywords":"Nexus (standard); Food security; Food systems; Food energy; Natural resource economics; Water security; Renewable energy; Energy security; Population; Agriculture; Business; Water resources; Economics; Ecology; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002173727,0.0001931334,0.0003207797,0.000004881719,0.0002938564,0.00001896314,0.0004798605,0.0000372524,0.0001520352],"category_scores_gemma":[0.0000208924,0.000100051,0.0001586464,0.0002053811,0.0005780207,0.0001264708,0.0005633372,0.00004398519,0.001067995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008626471,"about_ca_system_score_gemma":0.000004963898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004746946,"about_ca_topic_score_gemma":0.0007169601,"domain_scores_codex":[0.9986256,0.00009297578,0.0003511774,0.0002633918,0.0002760757,0.0003908093],"domain_scores_gemma":[0.999195,0.00002785119,0.0001332673,0.0005600156,0.00002105818,0.0000627506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006796721,0.0003787316,0.001998696,0.000112004,0.0002435064,0.000004835173,0.0007082063,0.00003519682,0.007547322,0.4375481,0.05963987,0.4917156],"study_design_scores_gemma":[0.00009680015,0.0002652969,0.001324051,0.0000258102,0.00003175458,0.000002132531,0.00001661082,0.0000283979,0.007029305,0.258595,0.7324191,0.0001657455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05887656,0.01187937,0.001008637,0.00159808,0.001291511,0.0005592887,0.00005835262,0.000104277,0.9246239],"genre_scores_gemma":[0.9961137,0.001272322,0.0003054426,0.0006241913,0.0003541188,0.00004231415,0.000004577068,0.00001769551,0.001265648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9372371,"threshold_uncertainty_score":0.9997098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493213598704672,"score_gpt":0.2294328384445978,"score_spread":0.2145007024575511,"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."}}