{"id":"W2753774276","doi":"10.2308/isys-51885","title":"Are XBRL Files Being Accessed? Evidence from the SEC EDGAR Log File Dataset","year":2017,"lang":"en","type":"article","venue":"Journal of Information Systems","topic":"Financial Reporting and XBRL","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"XBRL; Download; Computer science; Mandate; Database; Data file; Quarter (Canadian coin); Business reporting; Business; Accounting; World Wide Web","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":[0.004907927,0.0003987607,0.0004387171,0.005636476,0.0006045846,0.002824495,0.001726434,0.001232217,0.01141956],"category_scores_gemma":[0.05815538,0.0003305993,0.0003876531,0.01242699,0.0006529777,0.003078743,0.002219197,0.001140599,0.004881163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000887202,"about_ca_system_score_gemma":0.001038522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03616457,"about_ca_topic_score_gemma":0.03371283,"domain_scores_codex":[0.9928833,0.002145169,0.001002723,0.001287267,0.00180561,0.0008759593],"domain_scores_gemma":[0.8776572,0.05600265,0.0457481,0.01028285,0.008094228,0.002215063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003370542,0.0001163112,0.8938444,0.0003942848,0.0001277108,0.0002034431,0.0008577975,0.0002728195,0.00008752751,0.001146166,0.0874321,0.01518047],"study_design_scores_gemma":[0.00005811177,0.00005119471,0.9407713,0.0005277829,0.000111828,0.000319851,0.002637329,0.001406245,0.0004839589,0.0006495959,0.05292811,0.00005463158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5478345,0.002250217,0.0007136945,0.00537278,0.0001021237,0.0000859639,0.4292453,0.0002415335,0.01415396],"genre_scores_gemma":[0.6861229,0.001693557,0.000728172,0.0009716388,0.0001716607,0.0001428505,0.3070954,0.0000901427,0.002983521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03616457,"threshold_uncertainty_score":0.07190818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04548290969924344,"score_gpt":0.2762691994050079,"score_spread":0.2307862897057645,"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."}}