{"id":"W4385569768","doi":"10.1007/978-3-031-28193-8_20","title":"An Ecological-Network Input–Output Clustering Model for Analyzing CO2 Emission System","year":2023,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Smelting; Environmental economics; Electricity; Cluster (spacecraft); Cluster analysis; Greenhouse gas; Production (economics); Environmental engineering; Environmental science; Industrial organization; Business; Natural resource economics; Engineering; Computer science; Economics; Ecology; Materials science; Microeconomics","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":[0.000653269,0.0006149327,0.0006525531,0.00038797,0.0006478813,0.0007884044,0.001963689,0.001203706,0.004232018],"category_scores_gemma":[0.001244879,0.0003939451,0.0008450324,0.0009082676,0.0005966648,0.001037316,0.0008446444,0.0008819901,0.0004357479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854819,"about_ca_system_score_gemma":0.00127771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03378087,"about_ca_topic_score_gemma":0.02906665,"domain_scores_codex":[0.9998077,0.00007357298,0.000008590736,0.00005138515,0.00003573072,0.00002312089],"domain_scores_gemma":[0.9996349,0.0002146797,0.00002837862,0.00002245658,0.00007659891,0.00002294846],"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":[0.00001014593,0.00001091577,0.0001752109,0.00001149631,0.00001468208,0.00001776636,0.00001233899,0.986311,0.0002231551,0.009514204,0.0004489938,0.003249931],"study_design_scores_gemma":[9.453822e-7,0.000001631515,0.00003498521,6.846109e-7,0.000002062854,0.000002115861,0.000001487847,0.9974274,0.00002803653,0.002381182,0.0001180845,0.000001342769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03307688,0.0003508374,0.9514554,0.0004878696,0.00008623202,0.00005811936,0.0004816737,0.0005002075,0.01350285],"genre_scores_gemma":[0.7776324,0.0005860817,0.188499,0.0002101087,0.00009470424,0.0003035143,0.000772564,0.0002844417,0.03161727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03378087,"threshold_uncertainty_score":0.06716847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134593352450616,"score_gpt":0.198607073182762,"score_spread":0.1851477379377004,"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."}}