{"id":"W2966284138","doi":"10.15406/sij.2019.03.00145","title":"Global corporate crime and the sino forest fraud in Canada","year":2019,"lang":"en","type":"article","venue":"Sociology International Journal","topic":"Securities Regulation and Market Practices","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; King's University College","funders":"","keywords":"Business; Environmental crime; Illegal logging; Criminology; Forestry; Geography; Logging; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008100604,0.0002372493,0.0002544126,0.001993055,0.02211922,0.006757242,0.001164448,0.002456448,0.005520475],"category_scores_gemma":[0.00496764,0.0002456059,0.000282959,0.003737252,0.01134276,0.001739206,0.003385448,0.004354313,0.0001588836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08021124,"about_ca_system_score_gemma":0.08938307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918167,"about_ca_topic_score_gemma":0.9961141,"domain_scores_codex":[0.9980951,0.000150275,0.00003365752,0.0001282048,0.0004996422,0.001093128],"domain_scores_gemma":[0.9972835,0.0005051089,0.0004857722,0.0001026843,0.000714635,0.0009084083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001393772,0.0001675766,0.1321891,0.0002341815,0.00009800644,0.005945727,0.07869074,0.001587907,0.0003378146,0.569816,0.1375017,0.0732917],"study_design_scores_gemma":[0.00007469517,0.0000601589,0.2660317,0.00125976,0.00022849,0.002351939,0.1532474,0.003017012,0.0009886196,0.05298702,0.519471,0.0002821188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6155171,0.01163486,0.0004157437,0.1035047,0.0004003903,0.00009094098,0.0004894866,0.00002851935,0.2679183],"genre_scores_gemma":[0.9765236,0.0054823,0.0001303494,0.004648093,0.0000658336,0.00001001732,0.00008131799,0.000012438,0.01304598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08021124,"threshold_uncertainty_score":0.5819761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270768699545343,"score_gpt":0.234819192418505,"score_spread":0.2221115054230515,"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."}}