{"id":"W2795276161","doi":"10.1016/j.irle.2018.03.001","title":"Securities settlements as examples of crisis-driven regulation","year":2018,"lang":"en","type":"article","venue":"International Review of Law and Economics","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"CONTEST; Human settlement; Settlement (finance); Enforcement; Commission; Financial crisis; Business; Financial market; Payment; Service (business); Financial services; Finance; Economics; Economy; Law; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004561992,0.00009695625,0.0005012984,0.00008336386,0.00004665114,0.00002830831,0.0002157891,0.00005697016,0.0009182649],"category_scores_gemma":[0.00005003352,0.0001315821,0.0001164445,0.00002681814,0.0002222142,0.0002941533,0.00007341136,0.00003620025,0.0001268606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007055188,"about_ca_system_score_gemma":0.00001858767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043701,"about_ca_topic_score_gemma":0.0001590725,"domain_scores_codex":[0.998492,0.00001095385,0.001107562,0.00024736,0.0000253045,0.0001168008],"domain_scores_gemma":[0.9987709,0.00003955396,0.0008480586,0.0001996731,0.00009536539,0.00004644085],"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":[0.000009708533,0.00002289523,0.005381587,0.000421622,0.00009742221,9.618214e-8,0.0001733086,0.000003772899,0.000004788777,0.9922283,0.001208045,0.0004484361],"study_design_scores_gemma":[0.0005354655,0.000140983,0.004295567,0.001017655,0.00001720623,0.000008615817,0.00009139934,0.0006090201,0.0004424756,0.4617402,0.5308308,0.0002705462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3587648,0.01944394,0.0002733596,0.001699992,0.001903517,0.0004303089,0.00100109,0.00001772282,0.6164653],"genre_scores_gemma":[0.9606187,0.03700314,0.0003028,0.001508144,0.0003249814,0.00001122965,0.00006116874,0.00001409897,0.0001557447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6163096,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717520637511957,"score_gpt":0.2652567444929568,"score_spread":0.2280815381178372,"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."}}