{"id":"W2993408854","doi":"","title":"Startup Acquisitions, Error Costs, and Antitrust Policy","year":2019,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Harm; Competition (biology); Market power; Enforcement; Mergers and acquisitions; Context (archaeology); Business; Argument (complex analysis); Economics; Transaction cost; Industrial organization; Law and economics; Microeconomics; Finance; Law; Political science","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":[0.00574602,0.0003969317,0.0005946,0.002163627,0.00185769,0.005164359,0.000919353,0.004627009,0.007990005],"category_scores_gemma":[0.02391346,0.0003636721,0.0004682511,0.00201093,0.00766003,0.00569495,0.001930205,0.003304683,0.0004244992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00674947,"about_ca_system_score_gemma":0.003808076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008787029,"about_ca_topic_score_gemma":0.007507912,"domain_scores_codex":[0.9949759,0.002092899,0.0002019174,0.0004796094,0.001587502,0.0006622821],"domain_scores_gemma":[0.9413274,0.04151112,0.01212456,0.001537397,0.002514527,0.0009850181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000542614,0.00007830679,0.007655259,0.00008247169,0.00002964083,0.0002350258,0.0002297554,0.01118014,0.0001945079,0.9586942,0.003599153,0.0179673],"study_design_scores_gemma":[0.00005123064,0.0001534041,0.01507818,0.000377284,0.00005799742,0.0002694882,0.0005987296,0.03047373,0.0006879851,0.9374037,0.01478169,0.00006655851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4199826,0.0578381,0.09047008,0.08714445,0.0006518391,0.0001924833,0.0003469958,0.0001835391,0.3431899],"genre_scores_gemma":[0.9822267,0.004062569,0.001775883,0.001918881,0.0003986183,0.00003353027,0.00002864353,0.00001116878,0.009544034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008787029,"threshold_uncertainty_score":0.04897106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553621490038053,"score_gpt":0.2345463383025395,"score_spread":0.2190101234021589,"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."}}