{"id":"W3123340748","doi":"10.1016/j.energy.2021.119885","title":"A chance-constrained urban agglomeration energy model for cooperative carbon emission management","year":2021,"lang":"en","type":"article","venue":"Energy","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China","keywords":"Bio-energy with carbon capture and storage; Carbon dioxide; Environmental science; Greenhouse gas; Electricity; Energy consumption; Carbon dioxide removal; Nexus (standard); Economies of agglomeration; Fossil fuel; Carbon fibers; Environmental economics; Climate change mitigation; Environmental engineering; Natural resource economics; Waste management; Economics; Computer science; Engineering; Chemistry; Ecology","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":[0.00007450434,0.0002436478,0.0002261527,0.00004161327,0.0002594834,0.00003261066,0.0001496212,0.00008100966,0.0001249459],"category_scores_gemma":[0.00001536819,0.0002245835,0.00007877419,0.0002422618,0.00009916996,0.0001332388,0.0002786891,0.00004129935,0.000003183369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139084,"about_ca_system_score_gemma":0.0000220978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003883806,"about_ca_topic_score_gemma":0.001236342,"domain_scores_codex":[0.9984378,0.00005988825,0.0002495587,0.0005750979,0.0002849372,0.00039277],"domain_scores_gemma":[0.9994674,0.00002879333,0.00007542401,0.0002885066,0.00003225678,0.0001075701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002024967,0.0005877726,0.0001446667,0.00004565301,0.000374386,0.0001362246,0.002272912,0.1351,0.2355257,0.5393269,0.03325229,0.05303096],"study_design_scores_gemma":[0.001007864,0.0001313879,0.0000525794,0.00004265532,0.00005097172,0.000007997864,0.0003013375,0.6834742,0.2489,0.02304831,0.04247723,0.0005054759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01995642,0.001139638,0.3105188,0.002667254,0.0008827351,0.0003147925,0.00009476065,0.0002894129,0.6641362],"genre_scores_gemma":[0.9378888,0.00008894277,0.002802251,0.0007928437,0.0001342207,0.0002991239,0.00009663669,0.00003149812,0.05786568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9179324,"threshold_uncertainty_score":0.9158251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276624771993336,"score_gpt":0.210638736459367,"score_spread":0.1978724887394337,"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."}}