{"id":"W1968488039","doi":"10.1504/ijbge.2010.029552","title":"A 12-step process of white-collar crime","year":2009,"lang":"en","type":"article","venue":"International Journal of Business Governance and Ethics","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Collar; White-collar crime; Process (computing); Reign; Business; White (mutation); Organizational culture; Law and economics; Public relations; Political science; Law; Sociology; Computer science; Finance; Politics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003678919,0.0001355471,0.0003396281,0.0002787277,0.0001356643,0.0001955051,0.001036846,0.000211954,0.00009935876],"category_scores_gemma":[0.01540183,0.0001008269,0.00009252083,0.000576287,0.000192237,0.001005455,0.00008071511,0.0006320113,0.000004761704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005131793,"about_ca_system_score_gemma":0.0009329126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002771635,"about_ca_topic_score_gemma":0.00003718042,"domain_scores_codex":[0.9953896,0.00008819967,0.001055901,0.0002068752,0.003118542,0.0001408326],"domain_scores_gemma":[0.9861042,0.001188025,0.00176863,0.0002105843,0.01065535,0.00007315318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00303486,0.002512213,0.2055755,0.0004313893,0.0004679861,0.0003280012,0.06369434,0.01289874,0.006002376,0.3842234,0.02773521,0.2930959],"study_design_scores_gemma":[0.0009730124,0.0001378435,0.780916,0.0008915043,0.00003691482,0.0003075222,0.001373832,0.0004995295,0.0008681614,0.1889997,0.02475471,0.0002412742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7773013,0.002564519,0.03866609,0.1649466,0.007513049,0.0001590764,0.0000473952,0.00001583609,0.008786119],"genre_scores_gemma":[0.9935995,0.002221306,0.001518188,0.001617549,0.0005804279,7.486535e-7,0.000001369224,0.000007337489,0.000453545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5753405,"threshold_uncertainty_score":0.9928918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1615298383870729,"score_gpt":0.4308285115761685,"score_spread":0.2692986731890956,"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."}}