{"id":"W570041803","doi":"","title":"Integrating public and private enforcement : implications for courts and agencies","year":2014,"lang":"en","type":"book","venue":"","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Redress; Damages; Deterrence theory; Political science; Law and economics; Cartel; Law; Sociology; Economics; Incentive","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003002763,0.0001516858,0.0003785104,0.0002438277,0.0001505359,0.0001552087,0.0001003062,0.00009746064,0.0009676831],"category_scores_gemma":[0.00005340367,0.0001562907,0.0000862146,0.00003274799,0.00004672832,0.00007211594,0.00006222059,0.00007563159,0.00003456563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000067552,"about_ca_system_score_gemma":0.00002878298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001521586,"about_ca_topic_score_gemma":0.00004148455,"domain_scores_codex":[0.9990319,0.000003871655,0.0004606553,0.0003386672,0.00001580892,0.0001490744],"domain_scores_gemma":[0.9992842,0.0000675128,0.0002893617,0.0002323108,0.00004453717,0.0000820994],"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":[5.059578e-7,0.000003778227,0.0005803352,0.00004378997,0.00006761927,1.9286e-8,0.00004501973,4.588953e-7,0.000001035652,0.9836615,0.013807,0.001788877],"study_design_scores_gemma":[0.0000971073,0.00002053494,0.0003071951,0.000009743489,0.00001530281,8.177185e-7,0.00001464848,0.001045392,9.85858e-7,0.3011287,0.6972056,0.000153976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001691593,0.001253183,0.1051407,0.001287786,0.00007144734,0.0002578684,0.0001716983,0.00003032299,0.8916178],"genre_scores_gemma":[0.04460208,0.001330732,0.003516751,0.0009586881,0.00014797,0.0001726856,0.0003903618,0.000032696,0.948848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6833986,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05199087897386945,"score_gpt":0.236860653974208,"score_spread":0.1848697750003385,"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."}}