{"id":"W4382280421","doi":"10.1007/s10551-023-05472-3","title":"Effects of Moral Violation on Algorithmic Transparency: An Empirical Investigation","year":2023,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Western University; University of Waterloo","funders":"","keywords":"Transparency (behavior); Data collection; Business ethics; Quality of Life Research; Computer science; Internet privacy; Psychology; Public relations; Computer security; Sociology; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.004273238,0.00008918693,0.0002415902,0.0002299802,0.0003681034,0.0000781005,0.0002162913,0.0004551887,0.000006586897],"category_scores_gemma":[0.005713566,0.00007920115,0.00008335442,0.001038855,0.0003649099,0.0007075685,0.000009621403,0.0009539088,0.000004252081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007793749,"about_ca_system_score_gemma":0.001308164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004931766,"about_ca_topic_score_gemma":0.0002968263,"domain_scores_codex":[0.9975429,0.0006707679,0.0004086938,0.00009297578,0.001094338,0.0001903675],"domain_scores_gemma":[0.9960713,0.001445316,0.0004225048,0.00007614661,0.00181773,0.0001669763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004177711,0.0008198959,0.04833103,0.001287822,0.0002084029,0.0002092682,0.7680272,0.007846153,0.02480523,0.1190155,0.002361454,0.02667032],"study_design_scores_gemma":[0.0009464927,0.0005721588,0.6872104,0.0007460561,0.0001060573,0.000002657782,0.003402399,0.0007210242,0.002314626,0.302746,0.0009690446,0.0002630561],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573586,0.00004457829,0.001132552,0.04004106,0.0008981439,0.0001249303,0.000002875857,0.00003287063,0.0003643701],"genre_scores_gemma":[0.9974498,0.0007080614,0.0003782934,0.0007337318,0.0006785215,0.000001038072,0.000004146776,0.00001218191,0.00003426198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7646248,"threshold_uncertainty_score":0.6840085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1993691945149758,"score_gpt":0.4254518203017388,"score_spread":0.226082625786763,"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."}}