{"id":"W7056305018","doi":"","title":"Emerging-Market\\tMultinational\\tEnterprises,\\tHuman\\tRights,\\tand\\tSustainable\\tDevelopment:\\t Lessons\\tfrom\\tthe\\tCanadian\\tExperience","year":2013,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Emerging markets; Context (archaeology); Corporate social responsibility; State (computer science); International market","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001413512,0.0001837967,0.0001292681,0.0004340562,0.005371142,0.005930397,0.0008412784,0.001288146,0.013064],"category_scores_gemma":[0.00175291,0.00008392878,0.0002309022,0.0007948906,0.006203764,0.003525447,0.002162901,0.002230826,0.0006719973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01901024,"about_ca_system_score_gemma":0.02462865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5799596,"about_ca_topic_score_gemma":0.8388107,"domain_scores_codex":[0.9989589,0.000117122,0.0000134029,0.0001226254,0.0003233449,0.0004645468],"domain_scores_gemma":[0.9989882,0.0002138477,0.0001013107,0.00008526986,0.0003884413,0.0002228033],"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":[0.00001338095,0.00003151584,0.004418326,0.0000723651,0.000004876561,0.0003404558,0.009477677,0.0002145152,0.000569993,0.9189928,0.02456805,0.04129606],"study_design_scores_gemma":[0.000006329672,0.00002571173,0.01380612,0.000315881,0.00001127653,0.0001960327,0.05195842,0.0007606582,0.001787089,0.0735425,0.8575534,0.0000365814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1397672,0.00698418,0.006303345,0.08762314,0.0003860547,0.00004954209,0.0003038548,0.00008925268,0.7584934],"genre_scores_gemma":[0.8459716,0.006963906,0.002526244,0.01001575,0.00006269908,0.00002407007,0.0001589387,0.00004702801,0.1342298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4200404,"threshold_uncertainty_score":0.8450282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008834535532634486,"score_gpt":0.2232762322946006,"score_spread":0.2144416967619661,"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."}}