{"id":"W2930274925","doi":"10.3390/su11071930","title":"Optimal Design of a Distributed Energy System Using the Functional Interval Model That Allows Reduced Carbon Emissions in Guanzhong, a Rural Area of China","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Interval (graph theory); Environmental economics; Electricity; China; Electricity generation; Grid; Energy supply; Environmental science; Computer science; Operations research; Environmental engineering; Power (physics); Engineering; Energy (signal processing); Economics; Mathematics; Geography; Electrical engineering; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004971182,0.0005663171,0.0004935528,0.0002877838,0.0003489973,0.0008061327,0.0005894849,0.0005798825,0.001285592],"category_scores_gemma":[0.0005870197,0.0002914551,0.0005387723,0.0003116089,0.0004404108,0.0005138473,0.0005091604,0.0004469205,0.00007218272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007979771,"about_ca_system_score_gemma":0.001315604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01386425,"about_ca_topic_score_gemma":0.01048733,"domain_scores_codex":[0.9998187,0.00006996086,0.000005077144,0.0000395159,0.00003058489,0.00003600428],"domain_scores_gemma":[0.9998556,0.000071069,0.00002467969,0.000007419117,0.00002817227,0.00001299205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001517551,0.000008302777,0.000217568,0.00001379608,0.000005634622,0.00003061243,0.0000121981,0.9965003,0.0004191203,0.001292426,0.0000595542,0.001425347],"study_design_scores_gemma":[0.000005499232,0.0000209488,0.0001003949,0.00000171281,0.000003922867,0.000004047739,0.000009602536,0.9991047,0.0001103302,0.0005213134,0.0001157083,0.000001738795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3871067,0.0004190997,0.5921953,0.0003774963,0.00003431457,0.0001149127,0.0002334228,0.0001962378,0.0193226],"genre_scores_gemma":[0.9884022,0.0001108972,0.009781817,0.00001408579,0.000003080295,0.00005829559,0.00005108648,0.00001102115,0.001567538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01386425,"threshold_uncertainty_score":0.02756709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320554030104615,"score_gpt":0.2116957969438308,"score_spread":0.1984902566427847,"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."}}