{"id":"W7164915702","doi":"10.1080/17153379.2004.12554037","title":"State Power and the Logic of Reform in China's Electricity Sector","year":2004,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Electric Power System Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Electricity; State (computer science); Power (physics); Electricity retailing; Mains electricity; Electric power industry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001748664,0.0002031258,0.0003717878,0.0009200221,0.002498048,0.005615351,0.0004929482,0.00163627,0.003771832],"category_scores_gemma":[0.004700103,0.00021653,0.0003161109,0.001348226,0.009773672,0.003539388,0.001635267,0.002697465,0.0001126282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009425795,"about_ca_system_score_gemma":0.01247165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05887459,"about_ca_topic_score_gemma":0.07709384,"domain_scores_codex":[0.9991941,0.0002528212,0.00002455955,0.00009630254,0.0001871849,0.0002451332],"domain_scores_gemma":[0.998938,0.0004352805,0.0001617236,0.00008850554,0.0002688427,0.0001075812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002031664,0.00001059185,0.001271728,0.00001341381,0.000006470195,0.00004399402,0.0003319159,0.002099816,0.0000410322,0.9917402,0.001340044,0.003080334],"study_design_scores_gemma":[0.0000456301,0.00003125991,0.005853279,0.00004625859,0.00002902479,0.00001385505,0.0009532531,0.006377202,0.0001669685,0.9716476,0.01481894,0.00001665562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4751959,0.003111797,0.0129816,0.08516609,0.0002733147,0.00009052209,0.0002710655,0.00007248089,0.4228371],"genre_scores_gemma":[0.9947072,0.0003224926,0.0002815546,0.0006306173,0.00006910916,0.00001428487,0.00001138441,0.000004702637,0.003958663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05887459,"threshold_uncertainty_score":0.1170638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003593324702801429,"score_gpt":0.1754792128269343,"score_spread":0.1718858881241329,"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."}}