{"id":"W2619049629","doi":"10.1111/acfi.12273","title":"Stock price crash risk and internal control weakness: presence vs. disclosure effect","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"Glaucoma Research Foundation","keywords":"Business; Stock price; Crash; Stock (firearms); Accounting; Weakness; Actuarial science; Medicine; Computer science","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":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009978845,0.0003460269,0.0004109973,0.00008977159,0.001445494,0.001813968,0.000684522,0.00009662125,0.00001967756],"category_scores_gemma":[0.009579293,0.0003132245,0.00006665865,0.0001164711,0.0002785596,0.00260121,0.0007938208,0.0004345975,0.0000714412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001857611,"about_ca_system_score_gemma":0.00000980326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389956,"about_ca_topic_score_gemma":0.0001075325,"domain_scores_codex":[0.9981235,0.00001747668,0.0003106358,0.0006879775,0.0003410774,0.0005193511],"domain_scores_gemma":[0.990113,0.0001577546,0.009008419,0.0005915294,0.0001142722,0.00001498961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005832063,0.00001833875,0.8467902,0.0002269274,0.00003116041,0.00001891816,0.00004493869,0.00003614965,0.00005709998,0.001852089,0.001766296,0.1490996],"study_design_scores_gemma":[0.001349152,0.00002796671,0.8590607,0.0003773349,0.00008912555,0.000004641511,0.0000199485,0.007019062,0.00001649379,0.000717856,0.1309497,0.0003680573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718348,0.0004878118,0.02042919,0.0006162705,0.0005126718,0.000421482,0.000009249856,0.0001201437,0.00556835],"genre_scores_gemma":[0.9960667,0.0003549946,0.0001056356,0.000489625,0.001143257,0.00004910905,0.000002631709,0.00004387285,0.001744179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1487315,"threshold_uncertainty_score":0.999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004044458680968217,"score_gpt":0.2031262792765871,"score_spread":0.1990818205956189,"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."}}