{"id":"W1982481922","doi":"10.1111/1911-3838.12031","title":"Warning Lights on the Dashboard","year":2014,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Dashboard; Ethical issues; Business; Business ethics; Ethical decision; Corporate social responsibility; Process management; Risk analysis (engineering); Computer science; Engineering ethics; Public relations; Political science; Data science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005339656,0.0001121082,0.0001334903,0.000150158,0.000749596,0.0006572846,0.0007107611,0.00006561317,0.0003977669],"category_scores_gemma":[0.03066428,0.00005989726,0.00007086491,0.0005566009,0.0001689751,0.0003127942,0.00008852348,0.0003159965,0.0008769212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004323036,"about_ca_system_score_gemma":0.00005521689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005661682,"about_ca_topic_score_gemma":0.00002994734,"domain_scores_codex":[0.9979719,0.0002087536,0.0002417378,0.000425902,0.0009464939,0.000205218],"domain_scores_gemma":[0.9894839,0.008861024,0.0002263785,0.0007080424,0.000688419,0.00003227174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001099957,0.00006764012,0.01374334,0.000002924585,0.00001293275,3.601989e-7,0.03657938,0.0002158534,0.0004460279,0.9205706,0.01633831,0.01201167],"study_design_scores_gemma":[0.0001713993,0.00005787839,0.1983213,0.0001010406,0.00001280224,0.000004134202,0.0834161,0.003011495,0.0008622363,0.586385,0.1273053,0.0003512997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8670985,0.00009657484,0.00137998,0.03249191,0.001122715,0.0000844797,4.543733e-7,0.00007198785,0.09765344],"genre_scores_gemma":[0.9962568,0.00001273277,0.0003053719,0.0009278911,0.0008391162,0.00001009836,3.743609e-7,0.00001112963,0.001636511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3341856,"threshold_uncertainty_score":0.999901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568858039407194,"score_gpt":0.4017024897155169,"score_spread":0.2448166857747975,"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."}}