{"id":"W4312214556","doi":"10.1111/joie.12310","title":"Incentivized Mergers and Cost Efficiency: Evidence from the Electricity Distribution Industry*","year":2022,"lang":"en","type":"article","venue":"Journal of Industrial Economics","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Queen's University","funders":"","keywords":"Consolidation (business); Subsidy; Incentive; Electricity; Industrial organization; Business; Electric power industry; Electric power distribution; Control reconfiguration; Environmental economics; Public economics; Microeconomics; Economics; Finance; Market economy; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005939428,0.0003280703,0.0005070751,0.0005780094,0.0007274311,0.001539987,0.0008828554,0.001015426,0.002603351],"category_scores_gemma":[0.03590347,0.00025765,0.0004907788,0.001282572,0.001763911,0.001338904,0.0008533721,0.0009238212,0.0001708146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005708532,"about_ca_system_score_gemma":0.003516683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05403718,"about_ca_topic_score_gemma":0.0494164,"domain_scores_codex":[0.9969429,0.002027784,0.0001297268,0.0001873315,0.0004118585,0.0003002143],"domain_scores_gemma":[0.9573246,0.02957782,0.007638245,0.002571853,0.002127201,0.0007602122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002597447,0.002219044,0.2265155,0.0004273436,0.0005924489,0.0002388923,0.0006200161,0.5080107,0.002182934,0.1337634,0.004974943,0.1178574],"study_design_scores_gemma":[0.00188637,0.001732715,0.2113323,0.0001085197,0.0005640595,0.0001346505,0.001531574,0.6774827,0.004733259,0.09114106,0.009248352,0.0001044683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799413,0.0004769893,0.00989512,0.001167013,0.00001102434,0.0001165886,0.0001584272,0.00006273177,0.008170838],"genre_scores_gemma":[0.9979108,0.0001183532,0.001454717,0.00005313299,0.000005259204,0.00001144928,0.000051427,0.000004136078,0.0003906203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05403718,"threshold_uncertainty_score":0.1074453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06280250409346114,"score_gpt":0.2336468650362706,"score_spread":0.1708443609428094,"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."}}