{"id":"W1548064196","doi":"","title":"Further Reflections on the Interpretations of Private and Public Benefits in Merger Authorisation Decisions","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Taxation and Legal Issues","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tribunal; Competition (biology); Authorization; Commission; Public benefit; Business; Competition law; European commission; Law and economics; Political science; Public administration; Law; Economics; Finance; Computer security; Microeconomics; Computer science; International trade","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":[0.02857349,0.0005146614,0.0006803536,0.002104885,0.0111073,0.01882453,0.002305814,0.01525425,0.008048359],"category_scores_gemma":[0.03203361,0.0007295531,0.001350739,0.002998851,0.03704352,0.01698571,0.006433367,0.01590624,0.0006384203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02399064,"about_ca_system_score_gemma":0.009492045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0469245,"about_ca_topic_score_gemma":0.07684096,"domain_scores_codex":[0.9653744,0.02004919,0.001199814,0.00159985,0.00773489,0.004041842],"domain_scores_gemma":[0.9646288,0.02933864,0.001233621,0.001053958,0.003276211,0.0004686303],"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":[0.000007560904,0.00001045851,0.0001575364,0.00002520881,0.000002491415,0.00009150644,0.008167767,0.0001879839,0.00007186397,0.9827487,0.005750297,0.00277867],"study_design_scores_gemma":[0.00003582134,0.00003520529,0.003293534,0.0005485821,0.0000169767,0.000234289,0.02822418,0.001477195,0.0006461965,0.6241369,0.341239,0.0001121732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0505228,0.007689994,0.01808285,0.5530437,0.001822394,0.00008245081,0.0001142994,0.00003699415,0.3686045],"genre_scores_gemma":[0.8612216,0.004507826,0.008219909,0.06813963,0.002499385,0.0001136832,0.00005546142,0.0001020287,0.05514051],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0469245,"threshold_uncertainty_score":0.1740651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06469125671343859,"score_gpt":0.2764143244413875,"score_spread":0.2117230677279489,"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."}}