{"id":"W1566977346","doi":"10.2139/ssrn.438504","title":"National Versus International Mergers and Trade Liberalization","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"International trade; International economics; Business; Free trade; Economics","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":[0.001668514,0.0001545336,0.0004231094,0.0007481538,0.0007100763,0.003687462,0.0002708143,0.001351932,0.02196206],"category_scores_gemma":[0.01042259,0.00009974315,0.0002757683,0.00167378,0.002310076,0.002993158,0.001457203,0.001361954,0.0004903227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262131,"about_ca_system_score_gemma":0.001387665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002994463,"about_ca_topic_score_gemma":0.008343804,"domain_scores_codex":[0.9992985,0.0002832465,0.0000366771,0.0000669108,0.00006812243,0.0002465195],"domain_scores_gemma":[0.9856829,0.008078251,0.004496346,0.0003207234,0.0004136275,0.001008132],"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":[0.002230912,0.0005249983,0.2193518,0.0003572234,0.0001976055,0.0009127907,0.002664099,0.005287908,0.0008707497,0.7156205,0.007344054,0.04463728],"study_design_scores_gemma":[0.0002457177,0.0004870502,0.445769,0.0003339781,0.0004282014,0.0007660395,0.01853615,0.005137422,0.001234533,0.4907863,0.03622374,0.00005195207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8380081,0.005971527,0.001118899,0.01238466,0.0001195998,0.00002269118,0.0003144117,0.00002376576,0.1420362],"genre_scores_gemma":[0.9949476,0.000886046,0.00006211004,0.0002514361,0.0001173313,0.000004547048,0.00003981815,0.000003165258,0.003688086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02196206,"threshold_uncertainty_score":0.07347035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03456122013383855,"score_gpt":0.2206001296539589,"score_spread":0.1860389095201203,"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."}}