{"id":"W7311185","doi":"10.2139/ssrn.1326165","title":"Accountants' Sensitivity to Dimensions of Information Integrity","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Sensitivity (control systems); Business; Accounting; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01917212,0.0002159091,0.0004082918,0.001922495,0.002075691,0.01068981,0.0006752537,0.001672281,0.003724818],"category_scores_gemma":[0.1458802,0.0003994063,0.0004279108,0.002362245,0.003004552,0.005178256,0.002802658,0.002321245,0.0003602391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003099439,"about_ca_system_score_gemma":0.00196062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008508816,"about_ca_topic_score_gemma":0.005097965,"domain_scores_codex":[0.9810653,0.009896243,0.001519651,0.00129004,0.004938133,0.001290529],"domain_scores_gemma":[0.7947985,0.113999,0.04991821,0.01563396,0.02189878,0.003751441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002689741,0.0002052216,0.7788445,0.00016844,0.0004054358,0.001194635,0.05245229,0.003762684,0.004106304,0.07601368,0.00487986,0.07527725],"study_design_scores_gemma":[0.00009029498,0.000516994,0.7781815,0.0002216223,0.0005383285,0.002638562,0.07501572,0.0175769,0.01272244,0.0838635,0.02833611,0.0002981831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470221,0.0003296529,0.002112119,0.004235907,0.00004535916,0.00003110676,0.0000984209,0.00004864652,0.04607658],"genre_scores_gemma":[0.9993196,0.0000374455,0.0001849963,0.0000975997,0.000008378832,0.000002516045,0.00001270822,0.000004570976,0.0003322416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01917212,"threshold_uncertainty_score":0.101393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290255987751877,"score_gpt":0.2710370601282738,"score_spread":0.248134500250755,"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."}}