{"id":"W4315568133","doi":"10.1007/s10551-022-05316-6","title":"Twitter-Based Social Accountability Callouts","year":2023,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Accountability; Conversation; Social accounting; Public relations; Business ethics; Social media; Government (linguistics); Political science; Business; Sociology; Accounting; Law; Linguistics; Accounting information system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001395426,0.00008735318,0.0003218098,0.0002082358,0.000196905,0.00005782354,0.0001827102,0.0001279574,0.0001171029],"category_scores_gemma":[0.0008155651,0.00008760324,0.0001207856,0.0006696985,0.00009300669,0.0001581889,0.00003593081,0.0004574525,0.0002241752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007426838,"about_ca_system_score_gemma":0.0001103478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004066953,"about_ca_topic_score_gemma":0.0000207222,"domain_scores_codex":[0.9990097,0.00002202101,0.0005926617,0.0001171876,0.000100529,0.0001579427],"domain_scores_gemma":[0.9984809,0.0001559866,0.0007384239,0.0001045123,0.0004871379,0.00003308779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000392323,0.000809688,0.7715878,0.001198216,0.0004287903,0.0001038916,0.0262667,0.006423843,0.0003350316,0.09132601,0.09687132,0.004256382],"study_design_scores_gemma":[0.0005921444,0.00002142761,0.8908429,0.00003338618,0.000006604821,0.000002954906,0.0003559707,0.0002724977,0.00001706788,0.02128523,0.08642583,0.0001439803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957136,0.0005812667,0.01895726,0.07596586,0.003027864,0.0001127122,0.00005887741,0.00007607746,0.005506532],"genre_scores_gemma":[0.9976789,0.0001251753,0.0002293648,0.00131181,0.0003701434,0.000002427831,0.000002429172,0.00001153324,0.0002682213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192551,"threshold_uncertainty_score":0.3572357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2587764858717211,"score_gpt":0.3346402958027432,"score_spread":0.0758638099310221,"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."}}