{"id":"W2802464025","doi":"10.1108/ebr-05-2017-0101","title":"Operationalizing business ethics in organizations","year":2018,"lang":"en","type":"article","venue":"European Business Review","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Business ethics; Generalizability theory; Operationalization; Public relations; Ethical code; Corporation; Marketing; Business; Value (mathematics); Respondent; Accounting; Political science; Psychology; Law; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01098456,0.0002141663,0.0003940282,0.0003273152,0.0004945109,0.000449273,0.001049751,0.00008304162,0.002472901],"category_scores_gemma":[0.07762201,0.0001646539,0.00003890443,0.01206994,0.0002971953,0.0007332569,0.0002847706,0.0004131887,0.00505098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005896654,"about_ca_system_score_gemma":0.0008535546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006381364,"about_ca_topic_score_gemma":0.0002140801,"domain_scores_codex":[0.9954518,0.001265565,0.001171045,0.0006256507,0.001212122,0.0002737879],"domain_scores_gemma":[0.9853007,0.00124068,0.0003470923,0.0009882062,0.01203844,0.00008490283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004071902,0.001368373,0.07237832,0.007871052,0.00006357501,0.0001682214,0.01402276,0.00174775,0.001653177,0.2304453,0.357474,0.3127668],"study_design_scores_gemma":[0.0001725235,0.000006709551,0.4227012,0.004690311,0.00001680438,0.00003182057,0.00008723449,0.00008338971,0.0000154004,0.003066409,0.5688027,0.0003254984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03062651,0.1064094,0.1510469,0.3817903,0.01353525,0.00254963,0.00004399264,0.0005557117,0.3134423],"genre_scores_gemma":[0.8093687,0.1266563,0.008349496,0.0441603,0.003765255,0.00004411937,0.0002191013,0.0002128472,0.007223915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7787421,"threshold_uncertainty_score":0.998439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3691689957037827,"score_gpt":0.462706427737633,"score_spread":0.09353743203385034,"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."}}