{"id":"W7132939890","doi":"","title":"ELEMCOMP: an equilibrium model of combined electric generation and emissions competition using complementarity programming","year":2003,"lang":"","type":"dissertation","venue":"TSpace","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Oligopoly; Electricity; Imperfect competition; Electricity generation; Electricity market; Complementarity (molecular biology); Competition (biology); Perfect competition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004360138,0.0005596816,0.0006503828,0.0004879652,0.0006934531,0.001206406,0.001525091,0.001284363,0.007063156],"category_scores_gemma":[0.0008072093,0.0004845721,0.0007456967,0.0009839301,0.001227996,0.00101314,0.001207126,0.001043063,0.0004464171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002755702,"about_ca_system_score_gemma":0.003125709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05979963,"about_ca_topic_score_gemma":0.04928253,"domain_scores_codex":[0.9997267,0.00009027823,0.00000659227,0.00004008178,0.00006448732,0.00007191145],"domain_scores_gemma":[0.9997615,0.0001259998,0.0000293692,0.00001142096,0.00004006903,0.00003172455],"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":[0.00002404365,0.00001676261,0.0001626019,0.00002165552,0.00000982969,0.00006269544,0.00003585262,0.9181817,0.0003275862,0.07809795,0.0009791959,0.002080271],"study_design_scores_gemma":[0.00001878758,0.00001255172,0.00007393767,0.000003223397,0.000003753404,0.00001405466,0.00001470922,0.9820678,0.00008991236,0.01573877,0.001957054,0.000005569126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06731511,0.0003894291,0.8452988,0.001037551,0.00006725306,0.0001421442,0.001188288,0.0003226666,0.08423875],"genre_scores_gemma":[0.8899031,0.0004120595,0.07217886,0.000172437,0.00003954483,0.0003117457,0.0004099265,0.00009776757,0.03647458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05979963,"threshold_uncertainty_score":0.1189032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445677092930877,"score_gpt":0.3186151487338364,"score_spread":0.2740474394407487,"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."}}