{"id":"W578208340","doi":"10.1017/cbo9781107238985","title":"Linking Global Trade and Human Rights","year":2014,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Human Rights and Development","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Human rights; Cognitive reframing; Globalization; Global governance; Political science; Politics; China; Corporate governance; International trade; Economics; Law","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":[0.00148295,0.0005134468,0.0003597533,0.001554681,0.00292756,0.008668983,0.0004330272,0.001929555,0.01768075],"category_scores_gemma":[0.001870977,0.0001834876,0.0003229241,0.002678329,0.01490106,0.00736503,0.007570883,0.00306787,0.001685189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0047089,"about_ca_system_score_gemma":0.004642831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00369586,"about_ca_topic_score_gemma":0.00414157,"domain_scores_codex":[0.9983364,0.0008214396,0.00003428431,0.0001552942,0.0003714246,0.0002812057],"domain_scores_gemma":[0.9994975,0.0002690312,0.00003349171,0.0000893389,0.00005689991,0.00005369695],"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":[0.000001656431,0.000005193414,0.00004936457,0.00002176137,0.000001569769,0.00002256596,0.002043467,0.0001546031,0.00002265279,0.9797294,0.005627266,0.0123206],"study_design_scores_gemma":[0.000002176972,0.000005244568,0.0001597601,0.0002154751,0.000001956316,0.00004402453,0.001959955,0.00007322933,0.00004560114,0.5287904,0.4686986,0.000003688642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002555622,0.01300761,0.002098615,0.009337637,0.0005632102,0.00001826223,0.00003272972,0.00002225007,0.9723642],"genre_scores_gemma":[0.4351264,0.05586725,0.005022708,0.01021145,0.00205492,0.0002343923,0.0002000439,0.0001503208,0.4911325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01768075,"threshold_uncertainty_score":0.05914807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294107006800963,"score_gpt":0.2400055297225841,"score_spread":0.2170644596545744,"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."}}