{"id":"W2282350425","doi":"10.1111/ecin.12557","title":"HORIZONTAL MERGERS IN THE PRESENCE OF CAPACITY CONSTRAINTS","year":2018,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Competitor analysis; Capacity utilization; Economics; Marginal cost; Microeconomics; Constant (computer programming); Constraint (computer-aided design); Aggregate (composite); Monetary economics; Industrial organization; Econometrics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008170637,0.00009377202,0.000284747,0.0001756865,0.00005411969,0.00002212303,0.0003329809,0.00005390093,0.004566446],"category_scores_gemma":[0.00004936305,0.00009213475,0.0001186921,0.0001281074,0.000583566,0.0001401009,0.00003116301,0.00009478264,0.001224026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006059202,"about_ca_system_score_gemma":0.00002031567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004242897,"about_ca_topic_score_gemma":0.0002372113,"domain_scores_codex":[0.9989289,0.0000350536,0.0005636578,0.0002646876,0.0000214174,0.000186273],"domain_scores_gemma":[0.9993098,0.00006244858,0.0002307659,0.0003497963,0.00001311621,0.00003401851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002186728,0.0001043702,0.06544027,0.00001582087,0.0000916336,0.000002316754,0.007755885,0.00009828852,0.00009089389,0.9143414,0.01117401,0.0008632296],"study_design_scores_gemma":[0.005286502,0.001028636,0.3920126,0.0001324479,0.00007879797,0.0000553277,0.02258276,0.03633328,0.006604871,0.2841632,0.2489915,0.002730068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128819,0.0001014008,0.0007694815,0.0003687671,0.001457554,0.00009447194,0.00006262669,0.000009193078,0.08425465],"genre_scores_gemma":[0.999033,0.00003095438,0.0001535117,0.0002295868,0.0004185054,0.00001226441,0.000005443331,0.000006617442,0.000110084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6301782,"threshold_uncertainty_score":0.9995536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06089355482240256,"score_gpt":0.2522902159802127,"score_spread":0.1913966611578101,"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."}}