{"id":"W3125868777","doi":"","title":"Worldscope meets Compustat: A Comparison of Financial Databases","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Accounting; Quality (philosophy); Outcome (game theory); Actuarial science; Data source; Finance; Business; Economics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004636293,0.0003460174,0.0009224894,0.001393671,0.0002457886,0.000272209,0.0009264075,0.0002920332,0.0003060139],"category_scores_gemma":[0.004377276,0.0003814056,0.0002138411,0.0004886409,0.0003716989,0.0003491002,0.00258045,0.001891373,0.00006459848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003563367,"about_ca_system_score_gemma":0.00105726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001339055,"about_ca_topic_score_gemma":0.003157485,"domain_scores_codex":[0.9957151,0.0001122259,0.001510941,0.0009457426,0.000808956,0.0009070624],"domain_scores_gemma":[0.9969158,0.0004591948,0.0009042271,0.00104673,0.0006240026,0.00005006441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003256595,0.0008662085,0.1746536,0.001436534,0.00006006252,0.00004669192,0.0001922118,0.03559534,0.0001334527,0.006965812,0.004941747,0.7747827],"study_design_scores_gemma":[0.001577259,0.00006231013,0.1669968,0.001634123,0.00004477384,0.000002773574,0.0004825397,0.1686022,0.0003218816,0.002261467,0.6569324,0.001081449],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795369,0.0003341096,0.00001644862,0.0009014483,0.0007355736,0.001098116,0.0000508461,0.00007303689,0.1172535],"genre_scores_gemma":[0.9948816,0.0006749267,0.0009295788,0.0001476183,0.001561685,0.0001544033,0.000290173,0.00006584517,0.001294197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7737013,"threshold_uncertainty_score":0.9998638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188530816752489,"score_gpt":0.3963654998500779,"score_spread":0.277512418174829,"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."}}