{"id":"W4320723660","doi":"10.1093/grurint/ikad002","title":"Defining Relevant Markets in the Digital Era: Lessons from Merger Control in Brazil, Chile and Mexico","year":2023,"lang":"en","type":"article","venue":"GRUR International","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Market definition; Competition (biology); Relevant market; Enforcement; Merger guidelines; Market share; Industrial organization; Business; Economics; Price fixing; Market structure; Market economy; Collusion; Marketing; Finance; Law; Monopoly; Political science","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":[0.002366328,0.0001324235,0.0002674198,0.001490489,0.002063826,0.002981958,0.0006241918,0.0006469579,0.002989113],"category_scores_gemma":[0.009724994,0.0001251596,0.0002141526,0.001929266,0.002956755,0.002050776,0.002692617,0.0009281651,0.00007707199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007218941,"about_ca_system_score_gemma":0.003829381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.173313,"about_ca_topic_score_gemma":0.193125,"domain_scores_codex":[0.999086,0.000364464,0.00005373374,0.00007842408,0.0002022505,0.0002151144],"domain_scores_gemma":[0.9953745,0.002311241,0.00117577,0.0002358775,0.0006589939,0.0002436195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003184604,0.0006070553,0.3425703,0.0003330515,0.00007848386,0.002972515,0.0323603,0.004992438,0.0009377594,0.531325,0.006644356,0.07686019],"study_design_scores_gemma":[0.0002815928,0.0003541445,0.5773473,0.0009151801,0.0001623945,0.0009537232,0.1895921,0.02530639,0.003176202,0.109457,0.0923273,0.0001267239],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552514,0.0009834339,0.002355691,0.004475859,0.00001013739,0.00009731262,0.0001472346,0.00001301928,0.03666584],"genre_scores_gemma":[0.9974995,0.0003014115,0.0006407637,0.0001257182,0.000005217627,0.00002320522,0.0000599007,0.00000323211,0.001341138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.173313,"threshold_uncertainty_score":0.3446084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570280723023639,"score_gpt":0.2415550764988457,"score_spread":0.2258522692686094,"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."}}