{"id":"W2118224539","doi":"10.2139/ssrn.556163","title":"Information and Externalities in Sequential Litigation","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Externality; Business; Law and economics; Economics; Actuarial science; Microeconomics","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":[0.008629426,0.0005841884,0.001975681,0.002927602,0.001928651,0.00607278,0.001358033,0.0046573,0.02175326],"category_scores_gemma":[0.0614953,0.001058119,0.001040901,0.003528545,0.005073613,0.0128774,0.003090742,0.004379857,0.0008823868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003750119,"about_ca_system_score_gemma":0.002592992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006839831,"about_ca_topic_score_gemma":0.007035964,"domain_scores_codex":[0.9963476,0.001591745,0.0002727942,0.0004558234,0.0005247722,0.0008073236],"domain_scores_gemma":[0.8401555,0.1325574,0.01755721,0.003195667,0.003075672,0.003458486],"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":[0.00073481,0.0005704297,0.01858307,0.0001688927,0.0001414555,0.001220145,0.001088291,0.08258505,0.0005192279,0.8744326,0.004082373,0.01587359],"study_design_scores_gemma":[0.0001404155,0.0001156751,0.005848067,0.00003908955,0.00007478368,0.000201482,0.0002885926,0.04800939,0.0001495383,0.944149,0.0009420469,0.00004187055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8701584,0.001856847,0.05153841,0.01748913,0.0001208277,0.0001495925,0.0007641555,0.0002353513,0.0576873],"genre_scores_gemma":[0.9897356,0.0008930005,0.001155493,0.0002444244,0.0002203519,0.0000392329,0.0001140087,0.00002557266,0.007572213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02175326,"threshold_uncertainty_score":0.07277185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209540030057463,"score_gpt":0.1991280886372174,"score_spread":0.1870326883366427,"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."}}