{"id":"W2884287958","doi":"","title":"XBRL adoption and expected crash risk","year":2018,"lang":"en","type":"article","venue":"","topic":"Financial Reporting and XBRL","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"XBRL; Business; Risk analysis (engineering); Crash; Computer science; Actuarial science; Accounting","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":[0.0001740262,0.00007120036,0.00007539509,0.00007174972,0.0001853775,0.0001288702,0.00004297528,0.00003809728,0.0002838047],"category_scores_gemma":[0.0002849104,0.00005922768,0.0000205476,0.0001807562,0.00004978808,0.0003396599,0.00006004554,0.0000479258,0.0004662362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000512964,"about_ca_system_score_gemma":0.00000545588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008654936,"about_ca_topic_score_gemma":0.0003024531,"domain_scores_codex":[0.9994686,0.000002525825,0.0001424201,0.0001576673,0.00009357172,0.0001352741],"domain_scores_gemma":[0.9996173,0.000009692226,0.000136622,0.0001076827,0.0001227823,0.000005964076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004324899,0.00008407971,0.7509412,0.00005533023,0.00002494254,0.00001420672,0.0001222172,0.000001453507,0.001458548,0.03782661,0.05602047,0.1534076],"study_design_scores_gemma":[0.0003167391,0.00002010863,0.7999447,0.00002027893,0.00003859003,0.000002793234,0.0001549421,0.002106261,0.0001948196,0.006087719,0.1908965,0.00021654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.862756,0.00001779971,0.001006416,0.0001382998,0.0002546447,0.00005311795,1.839737e-7,0.0001814113,0.1355921],"genre_scores_gemma":[0.9956958,0.000006745157,0.0003952998,0.0004366324,0.001648681,0.000003307078,0.000003201126,0.0000093417,0.001801031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1531911,"threshold_uncertainty_score":0.5992679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020433681476893,"score_gpt":0.2083952852851555,"score_spread":0.1981909484703866,"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."}}