{"id":"W4410766860","doi":"10.32920/29156135.v1","title":"Equality and Human Rights in Employment","year":2025,"lang":"en","type":"preprint","venue":"","topic":"International Labor and Employment Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human rights; Gender equality; Political science; Labour economics; Law and economics; Economics; Sociology; Gender studies; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":true,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00195545,0.0003887331,0.0002384235,0.0004027451,0.005837669,0.006098718,0.0009739593,0.005228975,0.01503819],"category_scores_gemma":[0.00223767,0.0001797297,0.0003180308,0.000692484,0.01715435,0.004377506,0.003227909,0.006075201,0.00208272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006017589,"about_ca_system_score_gemma":0.005892764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04084274,"about_ca_topic_score_gemma":0.04843673,"domain_scores_codex":[0.9973298,0.000974509,0.0000718841,0.0003457252,0.0006173694,0.0006605574],"domain_scores_gemma":[0.9993657,0.0003257848,0.00004803347,0.00006295824,0.0001253232,0.00007215796],"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":[0.000001332176,0.000003815833,0.00004394336,0.00001421591,4.504473e-7,0.00001847277,0.00216923,0.00003223195,0.00001620987,0.9691307,0.02296757,0.005601894],"study_design_scores_gemma":[0.00000352472,0.000009612631,0.000729261,0.0003439464,0.000002007678,0.00004420237,0.001993501,0.00007990211,0.00009095446,0.2830045,0.7136894,0.000009253895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003228382,0.01861947,0.002820343,0.07436135,0.001833782,0.00007039755,0.0001024785,0.00002894267,0.8989349],"genre_scores_gemma":[0.3491153,0.02427698,0.003514686,0.06815906,0.003846336,0.0004096478,0.0001658306,0.00009702535,0.5504151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04084274,"threshold_uncertainty_score":0.08121002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05180345812378979,"score_gpt":0.4055000623686136,"score_spread":0.3536966042448238,"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."}}