{"id":"W3126040141","doi":"10.1111/1475-679x.00107","title":"Discussion of ADRs, Analysts, and Accuracy: Does Cross‐Listing in the United States Improve a Firm's Information Environment and Increase Market Value?","year":2003,"lang":"en","type":"article","venue":"Journal of Accounting Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cross listing; Listing (finance); Accounting; Value (mathematics); Sample (material); Econometrics; Business; Intermediation; Actuarial science; Enterprise value; Capital market; Point (geometry); Economics; Financial economics; Statistics; Finance; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00629842,0.0002269094,0.0005170284,0.001832035,0.001761786,0.004075849,0.001096112,0.0014258,0.004158236],"category_scores_gemma":[0.01711752,0.0001367389,0.0005122432,0.003181252,0.001810996,0.002579638,0.0009449557,0.001322727,0.0001589349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005305502,"about_ca_system_score_gemma":0.003630889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2255219,"about_ca_topic_score_gemma":0.256596,"domain_scores_codex":[0.997614,0.0009674444,0.0001474693,0.0001804556,0.0007972425,0.0002934069],"domain_scores_gemma":[0.9627757,0.0269233,0.005006593,0.0006857303,0.00363264,0.0009760637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009125674,0.0004545638,0.7463533,0.0004035774,0.0004320181,0.001750186,0.009372023,0.003932569,0.002005837,0.07445038,0.02245304,0.13748],"study_design_scores_gemma":[0.00008342256,0.0006405396,0.8675685,0.0009739614,0.0006914975,0.00042255,0.04040602,0.009836548,0.004969075,0.02835433,0.0458993,0.0001543656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7923737,0.03365522,0.001557539,0.137461,0.0002894924,0.00003121235,0.0005557055,0.00003154355,0.03404462],"genre_scores_gemma":[0.9923909,0.003775882,0.0003529096,0.00174219,0.0002324348,0.000004148964,0.00007815377,0.000003987662,0.00141931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2255219,"threshold_uncertainty_score":0.4484184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195628130466595,"score_gpt":0.2744055158804516,"score_spread":0.2624492345757856,"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."}}