{"id":"W2915492038","doi":"10.22201/fe.01851667p.2019.307.68449","title":"EL IMPACTO DE LAS FUSIONES Y ADQUISICIONES EN LA DISTRIBUCIÓN DEL INGRESO Y EL PIB: AMÉRICA LATINA, 1990-2014","year":2019,"lang":"es","type":"article","venue":"Investigación Económica","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Humanities; Political science; Art","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":[0.0009413613,0.0003235339,0.0002519971,0.001448671,0.0003940747,0.00184509,0.0003426496,0.0002636239,0.003903846],"category_scores_gemma":[0.001938132,0.0002007808,0.0006545553,0.003900237,0.0007214352,0.0009654172,0.001371675,0.0004660549,0.0003462414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003944223,"about_ca_system_score_gemma":0.002828138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1800344,"about_ca_topic_score_gemma":0.1430491,"domain_scores_codex":[0.9995328,0.00008928074,0.00003666451,0.00007897812,0.0001124358,0.0001498018],"domain_scores_gemma":[0.998541,0.0002243231,0.0007478272,0.00005713405,0.000301074,0.0001287221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001690773,0.00003635906,0.9567633,0.0002073532,0.0002107984,0.0002644011,0.0009695669,0.003796197,0.0005957002,0.005392148,0.001984495,0.0296106],"study_design_scores_gemma":[0.00001146531,0.00004058807,0.9715055,0.0001495832,0.00009098856,0.0001260272,0.00294596,0.001218366,0.0003687554,0.0007396996,0.02278824,0.00001491605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731469,0.008116253,0.0006908292,0.001657725,0.00003006009,0.00002336561,0.003962604,0.00003946602,0.0123328],"genre_scores_gemma":[0.9829751,0.007342215,0.0005782032,0.00008707745,0.000042148,0.00003028871,0.003044568,0.000019741,0.005880638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1800344,"threshold_uncertainty_score":0.357973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450558224911106,"score_gpt":0.2307410578699329,"score_spread":0.2162354756208218,"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."}}