{"id":"W4385604134","doi":"10.2308/api-2023-010","title":"Discussion of: Technology, Ethics, and the Pandemic: Responses from Key Accounting Actors","year":2023,"lang":"en","type":"article","venue":"Accounting and the Public Interest","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Audit; Pandemic; Context (archaeology); Political science; Intersection (aeronautics); Accounting; Key (lock); Engineering ethics; Coronavirus disease 2019 (COVID-19); Applied ethics; Public relations; Sociology; Business; Law; Engineering; History; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02553806,0.0003904914,0.0004385232,0.001341774,0.01109038,0.01106963,0.001298169,0.01290504,0.008456191],"category_scores_gemma":[0.0305534,0.0002200048,0.000518846,0.001448413,0.01372536,0.01223316,0.01078192,0.01344611,0.0005819866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007607349,"about_ca_system_score_gemma":0.008488882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004788325,"about_ca_topic_score_gemma":0.005795538,"domain_scores_codex":[0.9866785,0.009017305,0.0003775265,0.0005745868,0.001785725,0.001566307],"domain_scores_gemma":[0.9642633,0.02695661,0.001995234,0.001225273,0.003320977,0.002238486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001524017,0.0001307536,0.007884623,0.0003721729,0.0000241645,0.001603746,0.2202713,0.0008704301,0.001658943,0.5071853,0.1944163,0.06542988],"study_design_scores_gemma":[0.00002111876,0.00005340319,0.003893047,0.0006538802,0.00001190629,0.0003675708,0.2239101,0.0004487605,0.0008916595,0.08252338,0.6871372,0.00008785751],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04401595,0.006533836,0.001744657,0.9130554,0.002251043,0.00004859922,0.00006543995,0.00002490239,0.03226015],"genre_scores_gemma":[0.8085488,0.006864214,0.00153144,0.167227,0.002058165,0.0001006825,0.00005530285,0.00006001567,0.01355443],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02553806,"threshold_uncertainty_score":0.1350598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08702516181697824,"score_gpt":0.297378909093408,"score_spread":0.2103537472764297,"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."}}