{"id":"W3206562859","doi":"","title":"From Nevsun v Araya to the CORE: Taking Stock of State Based Business and Human Rights Grievance Mechanisms in Canada","year":2021,"lang":"en","type":"article","venue":"","topic":"Corporate Law and Human Rights","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Human rights; Redress; Grievance; Legislation; International human rights law; Law; Political science; Law and economics; Business; 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":[0.003514157,0.0002894444,0.0003881536,0.001247362,0.02589375,0.008750363,0.00238935,0.003464696,0.005261818],"category_scores_gemma":[0.009455055,0.0003767354,0.0004376443,0.001292665,0.01153597,0.002727633,0.004507244,0.006615136,0.0001877006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1364898,"about_ca_system_score_gemma":0.272119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993598,"about_ca_topic_score_gemma":0.9970723,"domain_scores_codex":[0.9949439,0.0005557861,0.0000783916,0.0004368621,0.001560407,0.002424646],"domain_scores_gemma":[0.9946485,0.00124187,0.0002472205,0.0002304074,0.002101659,0.001530288],"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":[0.00007060265,0.00005838732,0.01029374,0.0001279834,0.0000355851,0.001021313,0.02641661,0.001316864,0.0006483095,0.8638886,0.05510065,0.04102134],"study_design_scores_gemma":[0.00009380181,0.0001004907,0.04392455,0.0008630619,0.0001887028,0.0004884666,0.05969185,0.003936952,0.001965825,0.09615006,0.7922731,0.0003231698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2791419,0.01448206,0.005640913,0.1675043,0.00131552,0.0002088896,0.0003409238,0.0001707933,0.5311947],"genre_scores_gemma":[0.9437243,0.003489855,0.001527462,0.01511087,0.00007123495,0.00002613848,0.00006640581,0.00004088518,0.03594279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1364898,"threshold_uncertainty_score":0.9903073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187444152200662,"score_gpt":0.2105936866610018,"score_spread":0.1887192451389952,"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."}}