{"id":"W2972462119","doi":"10.35188/unu-wider/2019/671-5","title":"The contribution of services to trade and development in Southern Africa","year":2019,"lang":"en","type":"book","venue":"Working Paper Series","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United Nations University World Institute for Development Economics Research","keywords":"Foreign direct investment; International trade; Trade in services; Productivity; Business; Market access; Quarter (Canadian coin); Investment (military); International economics; Value (mathematics); Trade barrier; Economics; Economic growth; Geography; Agriculture; Political science","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":[0.0004040073,0.0003037416,0.0001258314,0.002436486,0.0008789137,0.002968809,0.0001471397,0.0003686722,0.007464232],"category_scores_gemma":[0.001707902,0.000123624,0.0001608006,0.008194422,0.001096509,0.001735626,0.001337311,0.0004524012,0.0005347214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003504619,"about_ca_system_score_gemma":0.003008481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03643886,"about_ca_topic_score_gemma":0.0413429,"domain_scores_codex":[0.9997731,0.00006602954,0.000008061763,0.00001559087,0.00005660856,0.00008055902],"domain_scores_gemma":[0.9996074,0.0001655578,0.00009114574,0.00001077083,0.00006284657,0.00006236125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001263073,0.00003801275,0.05691149,0.002201045,0.00006190046,0.003157577,0.01777049,0.005144043,0.001277894,0.334297,0.08265819,0.4963561],"study_design_scores_gemma":[0.0000115629,0.00004334702,0.07252584,0.002561285,0.00003942171,0.0012577,0.01894141,0.001736834,0.0005349754,0.05013274,0.8521923,0.00002256005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3384847,0.2347056,0.001239932,0.04905409,0.0008306394,0.00004584782,0.001427113,0.00007039206,0.3741416],"genre_scores_gemma":[0.8065415,0.1630124,0.0008584602,0.0006944435,0.000391725,0.00001638605,0.0004304038,0.00002645141,0.02802838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03643886,"threshold_uncertainty_score":0.0724535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02944865120514762,"score_gpt":0.1793999105175029,"score_spread":0.1499512593123553,"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."}}