{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06358317,0.001235783,0.003193779,0.004359378,0.02028918,0.06493691,0.006719389,0.05019611,0.01798871],"category_scores_gemma":[0.08036488,0.001871033,0.003222518,0.006728733,0.05659193,0.06931387,0.02206862,0.02366222,0.001536972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03860495,"about_ca_system_score_gemma":0.06527775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05307949,"about_ca_topic_score_gemma":0.03918175,"domain_scores_codex":[0.920042,0.04211517,0.00378031,0.008264547,0.01306298,0.01273503],"domain_scores_gemma":[0.9031075,0.05725424,0.005330611,0.008996903,0.01467931,0.01063151],"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":[0.00001602475,0.00007697384,0.0003027177,0.00002992853,0.00001317601,0.00004422567,0.0009212382,0.0005581236,0.00002055077,0.9846608,0.006112801,0.007243395],"study_design_scores_gemma":[0.00007053193,0.00004345507,0.0009709204,0.0004978257,0.00003416805,0.00005273049,0.004944144,0.001118368,0.00008394818,0.9353575,0.05677123,0.00005510042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01295912,0.02862751,0.01788357,0.7634992,0.001673711,0.0001362078,0.0001002563,0.0001184667,0.1750019],"genre_scores_gemma":[0.7859974,0.01490802,0.01756795,0.1298284,0.004574493,0.0006901065,0.0001006948,0.0001911151,0.04614179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06493691,"threshold_uncertainty_score":0.336264,"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."}}