{"id":"W3153162513","doi":"10.2139/ssrn.3633037","title":"Will Robot Judges Change Litigation and Settlement Outcomes? A First Look at the Algorithmic Replication of Prior Cases","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; Royal Ontario Museum; Queen's University; University of Toronto","funders":"","keywords":"Replication (statistics); Settlement (finance); Law; Psychology; Actuarial science; Computer science; Political science; Business; Statistics; Mathematics; World Wide Web","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":[0.03438271,0.0004605819,0.001494838,0.00266242,0.004825053,0.01262937,0.005572065,0.005507775,0.02401512],"category_scores_gemma":[0.2173479,0.0008788719,0.001707785,0.002877196,0.01004266,0.01698663,0.004352297,0.005870312,0.002873542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003807541,"about_ca_system_score_gemma":0.00603215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005204625,"about_ca_topic_score_gemma":0.01032559,"domain_scores_codex":[0.9614456,0.01874379,0.001811903,0.004627315,0.01161071,0.001760674],"domain_scores_gemma":[0.8311278,0.1076404,0.01239633,0.03719461,0.01064888,0.0009919591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005283806,0.0003940382,0.01193449,0.0002576229,0.0002130832,0.0003038126,0.003655997,0.01500596,0.001307298,0.833342,0.01377695,0.1192804],"study_design_scores_gemma":[0.0002539936,0.0005186691,0.01337234,0.0003046081,0.0001941956,0.0002800137,0.0038138,0.03691186,0.002444123,0.9008667,0.0408796,0.0001600775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3257218,0.004626007,0.2613173,0.05458803,0.002019946,0.0008941733,0.001617461,0.001332854,0.3478823],"genre_scores_gemma":[0.9341596,0.0007789745,0.04564212,0.002970035,0.0005728345,0.0003685202,0.0006421317,0.0002430009,0.01462286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03438271,"threshold_uncertainty_score":0.1818354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583583941434132,"score_gpt":0.2519254017070643,"score_spread":0.216089562292723,"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."}}