{"id":"W2247478858","doi":"","title":"El modelo HRV para expansión óptima de redes de transmisión: aplicaciones en Ontario","year":2010,"lang":"es","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tariff; Common value auction; Electricity; Transmission (telecommunications); Marginal cost; Electricity market; Incentive; Grid; Welfare; Electric power transmission; Economics; Welfare economics; Microeconomics; Telecommunications; Computer science; Geography; Engineering; Electrical engineering; Market economy; International economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004850608,0.0008147397,0.001929533,0.001819552,0.0004708609,0.0005832328,0.001922989,0.001644736,0.004006464],"category_scores_gemma":[0.0003466938,0.001091997,0.001069673,0.0003860171,0.0004575665,0.0003054481,0.0006702644,0.004846647,0.0003253038],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004003954,"about_ca_system_score_gemma":0.001701948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0164972,"about_ca_topic_score_gemma":0.03855297,"domain_scores_codex":[0.9927186,0.00039787,0.002325543,0.00231062,0.0002038086,0.002043595],"domain_scores_gemma":[0.995446,0.0006846383,0.000645412,0.002294665,0.0001564565,0.0007728703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001382415,0.003385532,0.3804129,0.001573545,0.003195551,0.0002776365,0.02794998,0.2151963,0.001688596,0.1370629,0.0004004384,0.2274742],"study_design_scores_gemma":[0.003362714,0.0003527858,0.1987418,0.0006079761,0.000145896,0.00009848524,0.002530651,0.3482361,0.0007364003,0.1057543,0.3355782,0.003854739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8369367,0.0004828723,0.001334865,0.001966688,0.0005236825,0.0008165502,0.000364469,0.0000718945,0.1575024],"genre_scores_gemma":[0.9262872,0.05751446,0.00480762,0.0003044516,0.000517343,0.0005999591,0.0002010323,0.0001652815,0.009602676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3351778,"threshold_uncertainty_score":0.9998195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042311956660577,"score_gpt":0.2984565472623067,"score_spread":0.2580334276957009,"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."}}