{"id":"W2149782899","doi":"","title":"Detecting and measuring market power in the Philippine wholesale electricity market","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Electric Power System Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bidding; Electricity market; Market clearing; Electricity; Benchmark (surveying); Collusion; Market power; Industrial organization; Wholesale market; Business; Economics; Quarter (Canadian coin); Electricity retailing; Microeconomics; Engineering; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.003942615,0.0001528668,0.00020107,0.0004161108,0.0001018026,0.0001073479,0.0003194551,0.0001461739,0.0000979239],"category_scores_gemma":[0.0006742124,0.0001458255,0.00003176387,0.0004322902,0.00005812873,0.0001761191,0.00006261043,0.001122387,0.000002160727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500417,"about_ca_system_score_gemma":0.00004873082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002183943,"about_ca_topic_score_gemma":0.0006621347,"domain_scores_codex":[0.9983583,0.0002012531,0.0003471914,0.0003035956,0.0001805811,0.000609094],"domain_scores_gemma":[0.9988685,0.000582018,0.00003597603,0.0004040756,0.00003767561,0.00007175704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002400291,0.0002225553,0.1123316,0.0004422438,0.0001374709,0.0001169139,0.003152914,0.02417996,0.03595572,0.0002360272,0.0006110913,0.8223735],"study_design_scores_gemma":[0.001780918,0.0001435769,0.1593288,0.0001518041,0.000007457407,0.0002209196,0.0007915527,0.8172925,0.003229951,0.0002464207,0.01602735,0.0007787716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8346491,0.0001642442,0.00004475631,0.00008153002,0.0001606451,0.0004105802,0.000002039604,0.0000627453,0.1644243],"genre_scores_gemma":[0.9983584,0.0008316168,0.0003008573,0.00001855166,0.00006266651,0.00006639756,0.000001183421,0.00004091224,0.0003194428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8215947,"threshold_uncertainty_score":0.5946591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047389942913214,"score_gpt":0.2304076096322165,"score_spread":0.2199337102030843,"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."}}