{"id":"W2608245704","doi":"10.1257/mic.20140272","title":"Disclosure and Legal Advice","year":2017,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adjudication; Advice (programming); Perspective (graphical); Legal advice; Outcome (game theory); Business; Law and economics; Private information retrieval; Law; Political science; Public relations; Economics; Computer science; Computer security","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":[0.009246243,0.0002576284,0.0005266292,0.001156604,0.001504264,0.003862048,0.0007269983,0.004872859,0.01254386],"category_scores_gemma":[0.1141738,0.0002651299,0.0002467165,0.001239849,0.003661695,0.003144281,0.001980361,0.002785079,0.000871286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002940925,"about_ca_system_score_gemma":0.002814447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003876125,"about_ca_topic_score_gemma":0.00353163,"domain_scores_codex":[0.9887179,0.00567315,0.0006775695,0.000960745,0.002892211,0.001078408],"domain_scores_gemma":[0.8879933,0.07620665,0.02228272,0.005355312,0.005949538,0.002212465],"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":[0.0004448477,0.0005288643,0.06942935,0.0005356391,0.0001632599,0.001337087,0.01029772,0.007435744,0.001776453,0.6347417,0.01383384,0.2594755],"study_design_scores_gemma":[0.0002431302,0.00031916,0.05258248,0.0005810818,0.0001522798,0.001427152,0.003503628,0.009548029,0.001284168,0.8279026,0.1023393,0.0001169387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5257573,0.01565645,0.03527257,0.1193112,0.0003814789,0.0002077491,0.0005112936,0.0001619837,0.3027399],"genre_scores_gemma":[0.9865428,0.001724601,0.002331775,0.002827711,0.0002245345,0.0000214044,0.00004110604,0.00001411591,0.006271861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254386,"threshold_uncertainty_score":0.04889941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330582806028009,"score_gpt":0.2246916355209292,"score_spread":0.2113858074606491,"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."}}