{"id":"W2548988095","doi":"","title":"The Standard of Proof in Phase I Merger Proceedings: The Lesson from the Microsoft/Skype Appeal","year":2014,"lang":"en","type":"article","venue":"London School of Economics and Political Science Theses Online (London School of Economics and Political Science)","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appeal; Commission; Context (archaeology); Merger control; Political science; Relevance (law); Law; Law and economics; Legitimacy; Authorization; European commission; Competition (biology); Business; European union; Sociology; Computer science; Computer security; Politics; 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":[0.08440339,0.0005433203,0.001594452,0.002807697,0.007417956,0.02598831,0.004192577,0.02993372,0.002219371],"category_scores_gemma":[0.2454435,0.0009613691,0.001505319,0.002066469,0.04843199,0.02483211,0.007472371,0.03268964,0.0008212059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01043919,"about_ca_system_score_gemma":0.0139562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009981002,"about_ca_topic_score_gemma":0.00852841,"domain_scores_codex":[0.9237334,0.03201349,0.005825718,0.006771086,0.02736133,0.004294951],"domain_scores_gemma":[0.7632319,0.189407,0.01071708,0.01282932,0.02055524,0.003259572],"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":[0.00003385507,0.00001624441,0.000362363,0.00004580682,0.00001369322,0.0001461646,0.001183172,0.0003478333,0.0001269442,0.9763423,0.0104372,0.01094437],"study_design_scores_gemma":[0.00005232803,0.0000555799,0.0006942702,0.0002563825,0.00002308868,0.0001361308,0.0007144857,0.001202238,0.0004349968,0.9659561,0.03039925,0.00007522132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05415712,0.02963635,0.07473518,0.6794466,0.004337163,0.0001835529,0.000166207,0.0001916159,0.1571462],"genre_scores_gemma":[0.9118394,0.005063861,0.01367381,0.05662846,0.006434997,0.0001396466,0.0000619834,0.0001285539,0.006029258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08440339,"threshold_uncertainty_score":0.4463731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495458829335375,"score_gpt":0.2802299961351532,"score_spread":0.2552754078417995,"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."}}