{"id":"W3095049482","doi":"10.1080/0376835x.2020.1834351","title":"The contribution of services to international trade in Southern Africa","year":2020,"lang":"en","type":"article","venue":"Development Southern Africa","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United Nations University World Institute for Development Economics Research","keywords":"International trade; Trade in services; Productivity; Business; Quarter (Canadian coin); Market access; Economics; International economics; Value (mathematics); Trade barrier; Emerging markets; Economic growth; Agriculture; Geography; Finance","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":[0.000728404,0.0003571986,0.0001709085,0.003765507,0.0008854602,0.00272109,0.0001963765,0.0003995078,0.007075367],"category_scores_gemma":[0.004637105,0.0001449228,0.000268763,0.009354397,0.001209368,0.001975461,0.001487378,0.0006257262,0.0003557428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003268035,"about_ca_system_score_gemma":0.002583622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05404969,"about_ca_topic_score_gemma":0.0622161,"domain_scores_codex":[0.9994307,0.0001522117,0.00002385557,0.00003929103,0.0001447247,0.0002092266],"domain_scores_gemma":[0.9980053,0.0005613469,0.0008840465,0.00004532432,0.0002550562,0.0002488515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002137521,0.00007762808,0.6746247,0.001159316,0.0001665907,0.005642503,0.01994568,0.006292023,0.001212399,0.08194696,0.01815634,0.1905621],"study_design_scores_gemma":[0.00001851036,0.00009129035,0.696992,0.002592908,0.0001495632,0.001818644,0.05329814,0.004191466,0.0005784752,0.02152804,0.2187009,0.0000400303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8927414,0.01883547,0.0006224578,0.01221042,0.0001469671,0.00003486908,0.001659953,0.00002408718,0.07372431],"genre_scores_gemma":[0.987519,0.009066188,0.0002096723,0.000201713,0.00007430506,0.000007741707,0.0002992883,0.000008674073,0.002613485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05404969,"threshold_uncertainty_score":0.1074702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090570185854017,"score_gpt":0.195368122429711,"score_spread":0.1544624205711709,"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."}}