{"id":"W4386870766","doi":"10.3982/ecta20769","title":"The Investment Effects of Market Integration: Evidence From Renewable Energy Expansion in Chile","year":2023,"lang":"en","type":"article","venue":"Econometrica","topic":"Electric Power System Optimization","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Bureau of Economic Research; University of British Columbia; Rice University; Research Institute of Economy, Trade and Industry; University of California Berkeley; Horizon 2020 Framework Programme; Massachusetts Institute of Technology; European Commission; London School of Economics and Political Science; European Research Council; National Science Foundation","keywords":"Renewable energy; Allocative efficiency; Market integration; Economics; Investment (military); Electricity market; Market power; Electricity; Natural resource economics; Industrial organization; Microeconomics; Monopoly","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009611841,0.000211788,0.0004293822,0.0006296295,0.0004038831,0.001269186,0.0005106688,0.0004395079,0.004005976],"category_scores_gemma":[0.003832449,0.0002120923,0.0004637776,0.001454424,0.0009425037,0.001238012,0.00144586,0.001078054,0.0003242296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728344,"about_ca_system_score_gemma":0.001012504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04509952,"about_ca_topic_score_gemma":0.04327579,"domain_scores_codex":[0.9996438,0.0001121069,0.00002098855,0.00005076926,0.00006824425,0.0001040826],"domain_scores_gemma":[0.9957904,0.001538382,0.001886544,0.0002157541,0.0003013379,0.0002676453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001140767,0.001625247,0.8479641,0.0008146224,0.000754525,0.002820896,0.002710832,0.04187099,0.002909103,0.03152863,0.007718878,0.0581415],"study_design_scores_gemma":[0.000373706,0.0003674017,0.943726,0.0001937039,0.0003976611,0.0001991075,0.006100723,0.02576636,0.001750934,0.008700738,0.012359,0.00006471359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889098,0.0007644744,0.0003216684,0.0009840735,0.000005800161,0.00001355955,0.0003228969,0.00001140992,0.008666356],"genre_scores_gemma":[0.997724,0.0006985214,0.00009411603,0.00007387386,0.00001604244,0.00000953428,0.0003865591,0.00000336992,0.0009940179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04509952,"threshold_uncertainty_score":0.08967406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008476462423575783,"score_gpt":0.1907379813390204,"score_spread":0.1822615189154446,"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."}}