{"id":"W2055118494","doi":"10.1007/s10668-013-9441-5","title":"Clean energy and water: assessment of Mexico for improved water services and renewable energy","year":2013,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Water-energy nexus; Nexus (standard); Renewable energy; Natural resource economics; Business; Environmental economics; Scarcity; Water scarcity; Fossil fuel; Revenue; Water resources; Energy policy; Electricity; Environmental resource management; Environmental science; Engineering; Economics; Waste management","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":[0.0004015654,0.0003433908,0.0003809046,0.00004984227,0.0003905752,0.00005250854,0.0001496737,0.0001069339,0.0002316727],"category_scores_gemma":[0.000004826121,0.0002269506,0.00003884348,0.00003340562,0.0004333913,0.0003481347,0.001087577,0.0000444561,0.000001197804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00034576,"about_ca_system_score_gemma":0.00001459165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005414211,"about_ca_topic_score_gemma":0.0009943987,"domain_scores_codex":[0.9978598,0.000076091,0.0004645385,0.0007210221,0.0002344194,0.0006441147],"domain_scores_gemma":[0.9993762,0.00005087989,0.00007729819,0.0002896678,0.00001889468,0.0001870214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004164025,0.001878117,0.4524382,0.001913,0.0008102508,0.0000145982,0.01734161,0.001778162,0.1722912,0.005831481,0.00196979,0.3433172],"study_design_scores_gemma":[0.001839574,0.0005431417,0.2138236,0.00002059188,0.00007162182,0.000006087954,0.004189409,0.004371249,0.5222324,0.1117867,0.1400612,0.001054387],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910493,0.0001486643,0.004438875,0.001771525,0.00004942373,0.0005372195,0.000008954576,0.00003376612,0.001962262],"genre_scores_gemma":[0.9934552,0.00010847,0.003149146,0.0002210648,0.00001438305,0.0003814007,0.00004616731,0.00002450152,0.002599691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3499412,"threshold_uncertainty_score":0.9254776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004879040053145209,"score_gpt":0.1913541107496348,"score_spread":0.1864750706964896,"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."}}