{"id":"W3122991222","doi":"10.1023/a:1011204301421","title":"Settlement Disputes: Evidence from a Legal Practice Perspective","year":2001,"lang":"en","type":"article","venue":"European Journal of Law and Economics","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Settlement (finance); Punitive damages; Jury; Context (archaeology); Principal (computer security); Law; Economics; Plaintiff; Business; Damages; Law and economics; Actuarial science; Political science; Finance","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":[0.04237198,0.0003916074,0.001137842,0.00689618,0.005615668,0.00853473,0.003338335,0.01273676,0.02621195],"category_scores_gemma":[0.2864455,0.000829328,0.0007314807,0.008029017,0.01353007,0.01175509,0.006502507,0.006611514,0.002756296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002508233,"about_ca_system_score_gemma":0.004287166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003428781,"about_ca_topic_score_gemma":0.003390138,"domain_scores_codex":[0.9472681,0.02723299,0.004669945,0.003570987,0.01343524,0.003822745],"domain_scores_gemma":[0.4669562,0.4346727,0.06562063,0.01164451,0.01671086,0.004395051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001655795,0.002474641,0.08931295,0.001044327,0.0002680964,0.002385077,0.04515476,0.00144647,0.0005605679,0.7565474,0.01683926,0.08231069],"study_design_scores_gemma":[0.00235082,0.00124039,0.1345375,0.00271216,0.0005275991,0.005859462,0.07518724,0.005484335,0.001342467,0.6687334,0.1018546,0.0001701392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6255849,0.01215445,0.009484159,0.03564104,0.0002974498,0.0003749012,0.0005916922,0.00004248116,0.3158289],"genre_scores_gemma":[0.9928046,0.001733207,0.0007561708,0.001263024,0.0002005562,0.00008770898,0.0001189315,0.000009100807,0.00302678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04237198,"threshold_uncertainty_score":0.2240871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04519471473868699,"score_gpt":0.2417847293856119,"score_spread":0.1965900146469249,"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."}}