{"id":"W4387328118","doi":"10.1017/9781009363716","title":"Trade Policy and Gender Equality","year":2023,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Chile; Universiteit Maastricht; United Nations Development Programme; Sveučilište u Zagrebu; Yanshan University; Georgetown University; University of Ottawa; Creighton University","keywords":"Setter; Commercial policy; International trade; Gender equality; Political science; Trade barrier; Economics; International economics; Business; Sociology; Geography; Gender studies","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002915592,0.0002331298,0.0002925981,0.0002393682,0.0006765434,0.0001036035,0.0004731432,0.0004031493,0.000007077257],"category_scores_gemma":[0.00009727657,0.0003108084,0.00009677478,0.00007916309,0.0008188999,0.0001216326,0.0002614839,0.0003440984,0.00002515689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007064695,"about_ca_system_score_gemma":0.001333597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143607,"about_ca_topic_score_gemma":0.00007825454,"domain_scores_codex":[0.9982795,0.0002794052,0.0001517218,0.0004552897,0.0004429989,0.0003911123],"domain_scores_gemma":[0.9989651,0.0002000057,0.0001527835,0.000311511,0.00006692307,0.0003036745],"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":[0.000005570235,0.000004630783,0.000005113984,0.00005551674,0.00005373892,0.00004028241,0.0014979,3.29111e-7,0.000002418287,0.8236856,0.1744344,0.0002144437],"study_design_scores_gemma":[0.0002493317,0.000006208169,0.0002554635,0.00002625983,0.00009639229,0.000001116558,0.0002875081,0.000002084263,0.000009098285,0.000105104,0.9986523,0.0003091597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002685882,0.00004345698,0.00005696189,0.0009878058,0.0002332392,0.000358929,0.0002419252,0.0004673197,0.9975835],"genre_scores_gemma":[0.002593235,0.0001812828,0.00002636401,0.0002391208,0.0006632512,4.175434e-7,0.00005403301,0.00005394451,0.9961883],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8242179,"threshold_uncertainty_score":0.9999344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05650462152659565,"score_gpt":0.2750903100549617,"score_spread":0.2185856885283661,"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."}}