{"id":"W1945498193","doi":"10.1596/978-1-4648-0412-0","title":"Elite Capture : Residential Tariff Subsidies in India","year":2014,"lang":"en","type":"book","venue":"World Bank Publications","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Tariff; Electricity; Consumption (sociology); Poverty; Quarter (Canadian coin); Electrification; Population; Economics; Business; Welfare; Poverty threshold; Payment; Agricultural economics; Economic growth; Geography; Finance; International economics; Demography; Engineering; Market economy","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002053643,0.000444485,0.0004739517,0.001382727,0.0001961763,0.000141619,0.0005727305,0.0004028003,0.002667588],"category_scores_gemma":[0.00004947978,0.0004817084,0.000212656,0.0005453803,0.0002380373,0.0002716932,0.00004956948,0.0006877118,0.0005527565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002819706,"about_ca_system_score_gemma":0.0002728044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001968602,"about_ca_topic_score_gemma":0.1169019,"domain_scores_codex":[0.9976169,0.00008622566,0.0007508961,0.0006259531,0.0004412444,0.0004787607],"domain_scores_gemma":[0.998184,0.0001648621,0.0003897347,0.001022791,0.00008121927,0.0001574333],"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":[0.000005629649,0.00006301285,0.0009810589,0.00004297064,0.00008638504,0.000003392445,0.0006675274,0.000689731,0.00001901031,0.8233229,0.1735457,0.0005726652],"study_design_scores_gemma":[0.0002899575,0.000005385511,0.10801,0.0000715761,0.00007763437,0.000001370793,0.0000224577,0.000008617782,0.0000218823,0.01467967,0.8764017,0.0004097627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000157583,0.001138128,0.0000893238,0.002959755,0.0003202007,0.0002600745,0.000176648,0.0002429586,0.9946553],"genre_scores_gemma":[0.02988554,0.0006210846,0.0002275571,0.001120495,0.0006016789,0.0003058797,0.005368618,0.0001168654,0.9617523],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8086432,"threshold_uncertainty_score":0.9997635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00904872012438524,"score_gpt":0.2219567006152342,"score_spread":0.212907980490849,"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."}}