{"id":"W7098333983","doi":"","title":"Trade Liberalization and Industrial Restructuring through Mergers and Acquisitions (JOB MARKET PAPER)","year":2005,"lang":"en","type":"article","venue":"","topic":"Pharmacological Effects of Medicinal Plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Restructuring; Liberalization; Free trade; Productivity; Mergers and acquisitions; Trade barrier; Commercial policy; Natural resource","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007051995,0.0001424559,0.0001505028,0.0004951832,0.0007511925,0.001765255,0.0001638592,0.0008773583,0.0118363],"category_scores_gemma":[0.001430307,0.0001052757,0.0002200918,0.0008337823,0.001192948,0.00110039,0.0006264742,0.0005673949,0.0005131207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107566,"about_ca_system_score_gemma":0.00137371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003280252,"about_ca_topic_score_gemma":0.006529517,"domain_scores_codex":[0.9997614,0.00006531543,0.000008842804,0.00002794901,0.00004118104,0.00009532021],"domain_scores_gemma":[0.9982178,0.000697071,0.0007727547,0.00005069751,0.00007646683,0.0001851125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009625608,0.0008308692,0.1188219,0.0007237556,0.0002209588,0.001439085,0.002884228,0.01939247,0.004203627,0.6053489,0.04829924,0.1968724],"study_design_scores_gemma":[0.0004407516,0.001092678,0.3828223,0.0005639288,0.0003003031,0.000810075,0.006586601,0.02142845,0.006651483,0.3879279,0.1912464,0.0001291348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8065258,0.0138099,0.006707383,0.02459589,0.0003690613,0.0001264349,0.0007696167,0.00007697353,0.1470188],"genre_scores_gemma":[0.9760345,0.005646362,0.0006778737,0.000773749,0.0003728616,0.00003070344,0.0001242639,0.000006058315,0.01633366],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0118363,"threshold_uncertainty_score":0.03959632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203001070455477,"score_gpt":0.3026166359047209,"score_spread":0.2705866252001662,"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."}}