{"id":"W4200420949","doi":"10.1016/j.jup.2021.101331","title":"Can privatization of distribution substations improve electricity reliability for non-residential customers? An application to Nepal","year":2021,"lang":"en","type":"article","venue":"Utilities Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Electricity; Business; Reliability (semiconductor); Electric power distribution; Mains electricity; Distribution (mathematics); Industrial organization; Resource (disambiguation); Environmental economics; Economics; Engineering; Computer science; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001438563,0.0003136153,0.0005242807,0.0004075096,0.001347695,0.002659703,0.0008282674,0.001927256,0.007712028],"category_scores_gemma":[0.007846982,0.000220005,0.0008046536,0.0009738317,0.001445384,0.002528337,0.001354728,0.001686504,0.0003329584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004548166,"about_ca_system_score_gemma":0.004077174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08149005,"about_ca_topic_score_gemma":0.1000544,"domain_scores_codex":[0.999255,0.0003391404,0.00002222188,0.00007520102,0.000102303,0.0002060527],"domain_scores_gemma":[0.9947165,0.003915563,0.0003844437,0.0002619379,0.0005960269,0.0001256042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001874175,0.002340453,0.1480066,0.001756795,0.0006605823,0.006318864,0.006162519,0.196428,0.009373751,0.3707458,0.03662419,0.2197082],"study_design_scores_gemma":[0.0007693613,0.002499322,0.2370924,0.001001528,0.001859182,0.001579115,0.03008738,0.3002525,0.01329849,0.3104548,0.1007824,0.0003236424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8699169,0.00165641,0.009647227,0.02171915,0.0001325725,0.0002337845,0.0005431434,0.0001613177,0.09598967],"genre_scores_gemma":[0.9927399,0.0005260545,0.0008527851,0.0005354676,0.00003556981,0.00002923555,0.00003819633,0.000007300312,0.005235466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08149005,"threshold_uncertainty_score":0.1620314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00713233369768671,"score_gpt":0.2580344488476069,"score_spread":0.2509021151499202,"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."}}