{"id":"W4250389949","doi":"10.1163/2210-7975_hrd-4208-0083","title":"summary-report-globalization-trade-and-human-rights-the-canadian-business-perspective-feb-22-1996-15-pp","year":2016,"lang":"en","type":"dataset","venue":"Human Rights Documents online","topic":"Corporate Law and Human Rights","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Globalization; International trade; Political science; Business; Law; Computer science; Artificial intelligence","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":[0.001328318,0.003301922,0.001598894,0.007841188,0.001678334,0.005093041,0.003007401,0.001703535,0.06287091],"category_scores_gemma":[0.005938226,0.0008067763,0.001925976,0.01234121,0.0006243233,0.001800837,0.001977946,0.002423262,0.06855694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00940197,"about_ca_system_score_gemma":0.02032762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8199553,"about_ca_topic_score_gemma":0.8820457,"domain_scores_codex":[0.9987621,0.00006634813,0.00007449939,0.000194381,0.0005176103,0.0003850789],"domain_scores_gemma":[0.9960648,0.0003839906,0.0002457087,0.0005356709,0.002053589,0.0007162205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000023098,0.0000118067,0.0009654834,0.0001489392,0.00001728047,0.00000780277,0.00001132105,0.0001798533,0.00002189414,0.0002354616,0.996729,0.00164801],"study_design_scores_gemma":[0.0002083623,0.00001329408,0.01750651,0.0003445145,0.00005080772,0.00002976967,0.0002202825,0.0007668394,0.0003615568,0.0007887981,0.979665,0.00004419761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001249372,0.00008744788,0.0000213291,0.0001126222,0.00003545625,0.000006250622,0.9986663,0.0002116573,0.0007340505],"genre_scores_gemma":[0.000367937,0.0001076838,0.0001027705,0.00002902552,0.00001144103,0.00002126613,0.9972945,0.00005326273,0.00201219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1800447,"threshold_uncertainty_score":0.3622099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009099058202168,"score_gpt":0.2786104971166353,"score_spread":0.2585195065346136,"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."}}