{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002112741,0.0001284902,0.0004597641,0.0001329231,0.0003747361,0.0001223053,0.0004283476,0.0001298315,0.001567054],"category_scores_gemma":[0.0004662394,0.0001225794,0.0002068376,0.0004075702,0.00006912715,0.000290134,0.0001326401,0.001073669,0.0000152568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004469604,"about_ca_system_score_gemma":0.0001562199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004532775,"about_ca_topic_score_gemma":0.00002000333,"domain_scores_codex":[0.9983153,0.0001251904,0.001059963,0.0002270489,0.00006571096,0.0002068203],"domain_scores_gemma":[0.9978759,0.0003648644,0.001392642,0.0002043508,0.00004872863,0.0001135574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001717619,0.0007601548,0.7681184,0.000007502603,0.001521062,0.00003018555,0.001622153,0.04137894,0.0001588382,0.07196365,0.07501805,0.03770346],"study_design_scores_gemma":[0.0119343,0.001266701,0.04116233,0.0001338038,0.0004735409,0.0001201244,0.003669034,0.08051895,0.0009375056,0.03487524,0.8232018,0.001706702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901571,0.001624819,0.001778782,0.004298907,0.001175743,0.0001500894,0.0004356937,0.000006186121,0.0003727196],"genre_scores_gemma":[0.9981181,0.0009097254,0.0000263362,0.0003485645,0.0004746962,0.000008921177,0.00002353765,0.000009585055,0.0000805056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7481837,"threshold_uncertainty_score":0.9993457,"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."}}