{"id":"W1185205365","doi":"10.2139/ssrn.2617388","title":"Peak Power Problems: How Ontario's Industrial Electricity Pricing System Impacts Consumers","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electricity; Electricity pricing; Power (physics); Environmental economics; Business; Stand-alone power system; Natural resource economics; Economics; Electricity market; Electricity generation; Environmental science; Industrial organization; Agricultural economics; Electrical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001065187,0.0001078821,0.0002126938,0.0004659718,0.004902376,0.006073742,0.0009745145,0.001836613,0.01095718],"category_scores_gemma":[0.005875568,0.0001969342,0.0003992194,0.001893897,0.002474363,0.001991681,0.00121066,0.001228765,0.0003044144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0776916,"about_ca_system_score_gemma":0.05608795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9822769,"about_ca_topic_score_gemma":0.9935272,"domain_scores_codex":[0.9984962,0.0003418202,0.0000255941,0.00007453455,0.0003760882,0.0006857371],"domain_scores_gemma":[0.9969839,0.0006180241,0.0002967218,0.00008624399,0.001331112,0.0006838463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007018511,0.0005307595,0.3745926,0.0002039552,0.0001771384,0.001425535,0.03903667,0.0202962,0.0009935397,0.3495617,0.1562783,0.05620192],"study_design_scores_gemma":[0.0002074533,0.0001626658,0.5773737,0.0002359277,0.0002373754,0.0001913643,0.1355564,0.01810904,0.000597208,0.04280669,0.2243662,0.000155773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.702316,0.0005932777,0.0005112457,0.04803541,0.0000669614,0.00006021279,0.0008219347,0.00003220224,0.2475627],"genre_scores_gemma":[0.9866219,0.0002180062,0.00009611745,0.0007093904,0.00001344391,0.00000780498,0.00008315012,0.00001038128,0.01223979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0776916,"threshold_uncertainty_score":0.5636947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109761975555977,"score_gpt":0.2553465196396305,"score_spread":0.2242488998840707,"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."}}