{"id":"W2980329567","doi":"10.2308/isys-52618","title":"How Significant are the Differences in Financial Data Provided by Key Data Sources? A Comparison of XBRL, Compustat, Yahoo! Finance, and Google Finance","year":2019,"lang":"en","type":"article","venue":"Journal of Information Systems","topic":"Financial Reporting and XBRL","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"XBRL; Business; News aggregator; Finance; Bankruptcy; Financial statement; Key (lock); Accounting; Earnings; Computer science; Audit; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001540509,0.0001485642,0.0005483435,0.0001927336,0.0001029648,0.0005679227,0.0009477835,0.00005736013,0.000001382508],"category_scores_gemma":[0.0007364913,0.00009769998,0.00003226223,0.0003676181,0.00005323597,0.004941283,0.0003494473,0.0002570484,0.00000882586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002042285,"about_ca_system_score_gemma":0.0001169593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003760636,"about_ca_topic_score_gemma":0.00005285213,"domain_scores_codex":[0.9978358,0.00002790635,0.001301466,0.0001404329,0.0005043286,0.0001901247],"domain_scores_gemma":[0.9941422,0.0001038071,0.004860178,0.0005595443,0.0003244753,0.000009747589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001959323,0.0001403803,0.8991178,0.001351124,0.00003544901,0.00000839113,0.0009375798,0.0007892715,0.00008452257,0.002405644,0.08479431,0.0101396],"study_design_scores_gemma":[0.001765,0.0001043487,0.2592387,0.00169318,0.00006106257,0.00003913804,0.00947013,0.1597257,0.00003349165,0.00008322334,0.5674154,0.0003706194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957904,0.0008219041,0.001200487,0.0005965305,0.0006562902,0.000405281,0.00007536427,0.000009586464,0.0004441658],"genre_scores_gemma":[0.999357,0.00005444391,0.00007048088,0.00009690225,0.0002288832,0.000003218323,0.00007985046,0.000005936354,0.0001032993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.639879,"threshold_uncertainty_score":0.5476491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855398241513985,"score_gpt":0.2459384604676647,"score_spread":0.2073844780525248,"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."}}