{"id":"W3007584316","doi":"10.1016/j.enpol.2020.111348","title":"Reforming the electric power industry in developing economies evidence on efficiency and electricity access outcomes","year":2020,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Aging","keywords":"Endogeneity; Electricity; Mains electricity; Exploit; Electric power industry; Robustness (evolution); Per capita; Economics; Developing country; Business; Electric power; Consumption (sociology); Industrial organization; Power (physics); Economic growth; Engineering; Population; Econometrics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001577501,0.0001824392,0.0002087749,0.0003092209,0.00008254445,0.00008879482,0.0003407096,0.000192906,0.000004956388],"category_scores_gemma":[0.0003999053,0.0001410559,0.0000264343,0.00147424,0.00001379193,0.0003427531,0.0000616684,0.0004265761,0.00000435474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003691028,"about_ca_system_score_gemma":0.0001312842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000417697,"about_ca_topic_score_gemma":0.00005141602,"domain_scores_codex":[0.9989503,0.00005338791,0.0002861649,0.0002161309,0.0001198426,0.0003741802],"domain_scores_gemma":[0.9994807,0.0002133843,0.00005722534,0.0001613265,0.00001805925,0.00006925259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006643125,0.00005120405,0.06529447,0.0002014517,0.0001702601,0.00002945369,0.004447547,0.809595,0.002333403,0.08812035,0.001927513,0.02776291],"study_design_scores_gemma":[0.001617047,0.000488264,0.1770068,0.0005453159,0.00003878537,0.00006090716,0.0001756233,0.7149807,0.09201822,0.001013865,0.009817782,0.002236739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689865,0.00145,0.01438024,0.008728508,0.0001351676,0.0001948885,0.000001015794,0.0003061126,0.005817543],"genre_scores_gemma":[0.9971243,0.0003812046,0.00004128861,0.00226142,0.00008778424,0.00002623073,6.577825e-7,0.00002672642,0.00005039269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1117123,"threshold_uncertainty_score":0.5752091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571440024876655,"score_gpt":0.2671849704988075,"score_spread":0.241470570250041,"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."}}