{"id":"W2324443244","doi":"10.1080/07900627.2016.1159543","title":"Will the energy industry drain the water used for agricultural irrigation in the Yellow River basin?","year":2016,"lang":"en","type":"article","venue":"International Journal of Water Resources Development","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China; Energy Foundation","keywords":"Agriculture; Structural basin; Nexus (standard); Water resource management; Drainage basin; Irrigation; Water-energy nexus; Environmental science; Farm water; Water use; Water energy; Water conservation; Food energy; Water resources; Geography; Ecology; Geology; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0009021703,0.0001705224,0.0001325502,0.00005770487,0.0002301836,0.00009477938,0.001139116,0.00007427105,0.000206006],"category_scores_gemma":[0.00002606765,0.00004128911,0.0001001307,0.00005714373,0.0002539684,0.0003811972,0.000319651,0.0001670061,0.0000259662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003381451,"about_ca_system_score_gemma":0.000009917058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202067,"about_ca_topic_score_gemma":0.0002639797,"domain_scores_codex":[0.9979802,0.0001802549,0.0004923189,0.0001652165,0.0008796161,0.0003024154],"domain_scores_gemma":[0.9994202,0.0001750675,0.0001635505,0.0001262209,0.0000759766,0.00003893116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001293345,0.0009950348,0.0430884,0.0000201338,0.002671465,0.0003209553,0.5863199,0.004351919,0.2224262,0.007851441,0.04787829,0.08278301],"study_design_scores_gemma":[0.001210968,0.00008774434,0.06130785,0.00009952261,0.00002411485,0.0001660427,0.002175506,0.00001941203,0.1636315,0.01562899,0.7554094,0.0002389944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373578,0.00001542569,0.0006571177,0.06002108,0.0004292974,0.0001297865,0.000006184831,0.000006347913,0.001376979],"genre_scores_gemma":[0.9953421,0.000003726551,0.0002360738,0.001358426,0.0002973225,0.00004234175,0.000005036772,0.00001065926,0.002704356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7075311,"threshold_uncertainty_score":0.2255621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267358541412371,"score_gpt":0.2109916970549601,"score_spread":0.1983181116408363,"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."}}