{"id":"W2613995320","doi":"10.1111/rego.12162","title":"Governance gaps in eradicating forced labor: From global to domestic supply chains","year":2017,"lang":"en","type":"article","venue":"Regulation & Governance","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Economic and Social Research Council; International Labour Organization; Arts and Humanities Research Council; Universidad de Navarra; Yale University; Universiteit van Amsterdam; Joseph Rowntree Foundation; City University of New York","keywords":"Supply chain; Corporate governance; Scholarship; Value (mathematics); Business; Economics; Consumption (sociology); Labour economics; Economic growth; Sociology; Marketing; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005633211,0.0001711674,0.0003650838,0.001239789,0.002403643,0.005369985,0.0007646005,0.0009234793,0.006453567],"category_scores_gemma":[0.01424422,0.000166957,0.0002776347,0.00179326,0.01105037,0.005913667,0.008709856,0.00131188,0.0002061426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004272746,"about_ca_system_score_gemma":0.005208404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005624446,"about_ca_topic_score_gemma":0.008677069,"domain_scores_codex":[0.995479,0.002462557,0.0001610477,0.0003454897,0.0004689829,0.001082913],"domain_scores_gemma":[0.9902822,0.00434831,0.002116547,0.001394617,0.0009726246,0.0008857351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001809366,0.0001513917,0.1239417,0.0005319137,0.00005533346,0.001062519,0.07561201,0.007551249,0.001659866,0.6758605,0.003181518,0.110211],"study_design_scores_gemma":[0.00005931908,0.0003012426,0.1316213,0.002841566,0.00008068495,0.0004831895,0.2477728,0.006380974,0.002501617,0.4770316,0.1308641,0.00006166721],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8721246,0.001973316,0.01574917,0.01453874,0.00007419688,0.00008056607,0.00007938012,0.00004096232,0.09533899],"genre_scores_gemma":[0.9988858,0.000185457,0.0003723232,0.0001973244,0.000008131339,0.00001107227,0.000009995311,0.000003831249,0.0003260292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006453567,"threshold_uncertainty_score":0.03100109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231238378897643,"score_gpt":0.2714826490656635,"score_spread":0.2591702652766871,"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."}}