{"id":"W1555455131","doi":"10.1111/eulj.12007","title":"Beyond ‘Don't Be Evil’: The European Union GSP+ Trade Preference Scheme and the Incentivisation of the Sri Lankan Garment Industry to Foster Human Rights","year":2013,"lang":"en","type":"article","venue":"European Law Journal","topic":"Global Peace and Security Dynamics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Human rights; Context (archaeology); Incentive; Preference; Government (linguistics); European union; Economics; Business; International trade; Political science; Law; Market economy; Microeconomics; History","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":[0.005619181,0.0002810656,0.0002474019,0.0006019191,0.003359703,0.006951941,0.0009271755,0.00642514,0.007018847],"category_scores_gemma":[0.00503716,0.0002354485,0.0005677934,0.0005491622,0.01426774,0.00376093,0.005156151,0.003700218,0.0003916329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004109172,"about_ca_system_score_gemma":0.003533874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008885915,"about_ca_topic_score_gemma":0.01265848,"domain_scores_codex":[0.995565,0.002486479,0.0001256811,0.0004225745,0.0003932315,0.001007079],"domain_scores_gemma":[0.9973652,0.001361859,0.0003209295,0.0004740756,0.0002489818,0.0002289886],"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":[0.00002184386,0.00001635426,0.0002760421,0.000009812718,0.000003981638,0.00009596964,0.0006744248,0.0002896502,0.0001545303,0.9955075,0.0007973178,0.002152575],"study_design_scores_gemma":[0.0002174808,0.0004065093,0.008487714,0.0004378126,0.0001009093,0.0005006983,0.009986003,0.006004286,0.003643877,0.7253433,0.2447005,0.0001709278],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1810161,0.0007579526,0.005175985,0.02572446,0.0001784562,0.00005188624,0.00003031241,0.00005090641,0.7870139],"genre_scores_gemma":[0.9816926,0.0001447398,0.0006806606,0.002334958,0.00003845261,0.00002681827,0.000004059803,0.00000755115,0.01507011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008885915,"threshold_uncertainty_score":0.0298143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738197978224447,"score_gpt":0.2602495136291882,"score_spread":0.2328675338469438,"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."}}