{"id":"W2605900105","doi":"","title":"Cost of Carbon Emissions Abatement in the Ontario Electricity Market: 2006 to 2011","year":2014,"lang":"en","type":"article","venue":"Energy & the Economy,37th IAEE International Conference,June 15-18, 2014","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural resource economics; Electricity; Greenhouse gas; Electricity market; Environmental economics; Electricity system; Business; Economics; Electricity generation; Environmental science; Engineering; Power (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009817914,0.0003089437,0.0003572222,0.0003572322,0.00007560238,0.0001013387,0.001123204,0.0001255923,0.003475679],"category_scores_gemma":[0.00006216462,0.000233467,0.0001025967,0.0002297368,0.00004141566,0.0001562488,0.00009231368,0.0003098045,0.00005893834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000517635,"about_ca_system_score_gemma":0.0001629212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01276997,"about_ca_topic_score_gemma":0.0359591,"domain_scores_codex":[0.9979473,0.000210018,0.0007658263,0.0003467352,0.0003200604,0.0004100597],"domain_scores_gemma":[0.9986315,0.0002727978,0.0002213999,0.0005594753,0.0002122146,0.0001026014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003236397,0.0004787058,0.04160636,0.00008772417,0.00111644,0.00001331356,0.005650269,0.3327169,0.00241802,0.1149806,0.4888724,0.01173565],"study_design_scores_gemma":[0.001299077,0.0001855393,0.0101856,0.0001496531,0.00006556614,0.00002601894,0.0001717209,0.4375696,0.006273559,0.003226037,0.5400577,0.000789924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0628737,0.0002289993,0.06554694,0.0026557,0.002599111,0.0008549695,0.00003452064,0.0001435079,0.8650625],"genre_scores_gemma":[0.9881045,0.00006309401,0.0001828493,0.0003588071,0.0002130689,0.0002225634,0.00005229857,0.00003517985,0.01076766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9252308,"threshold_uncertainty_score":0.9974353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864101763495844,"score_gpt":0.2267800667145025,"score_spread":0.208139049079544,"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."}}