{"id":"W3141304612","doi":"","title":"Judicial Review of Mergers in Europe: Tetra Laval, GE/Honeywell and the Convergence Toward US Standards","year":2006,"lang":"en","type":"article","venue":"Chapters","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tetra; Convergence (economics); Political science; Chemistry; Economics; Economic growth","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":[0.0113955,0.0002044728,0.0003678505,0.003494545,0.002942003,0.01020788,0.001318331,0.004703586,0.003845327],"category_scores_gemma":[0.0187104,0.0003612309,0.0003783119,0.003104473,0.003737103,0.004282578,0.002250772,0.00284908,0.0004734818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01006155,"about_ca_system_score_gemma":0.01126015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04794912,"about_ca_topic_score_gemma":0.08777206,"domain_scores_codex":[0.9924999,0.002436265,0.0005376149,0.000640045,0.002887303,0.0009989032],"domain_scores_gemma":[0.9894235,0.005103574,0.001135253,0.0006017733,0.003157505,0.0005784797],"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":[0.00005458267,0.00004008276,0.003201613,0.0001733534,0.00002270175,0.0002061129,0.001558729,0.0005616918,0.0002862765,0.538955,0.3431105,0.1118293],"study_design_scores_gemma":[0.00003819017,0.00005259574,0.02248846,0.001124484,0.00002973403,0.0002214819,0.002062774,0.0007907284,0.0008135315,0.05308829,0.9192329,0.0000567744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06565344,0.315906,0.002681432,0.2429435,0.004156501,0.00007848587,0.0004543263,0.0001605842,0.3679658],"genre_scores_gemma":[0.7618115,0.06384437,0.002932804,0.03911845,0.004561995,0.00009605406,0.0005189143,0.0001194328,0.1269965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04794912,"threshold_uncertainty_score":0.09534007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071985271949275,"score_gpt":0.2079957557963664,"score_spread":0.1972759030768736,"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."}}