{"id":"W3144888107","doi":"","title":"The Human Side of Regions: Informal Cross-border Traders in the Zambia–Malawi–Mozambique Growth Triangle and Prospects for Integrating Southern Africa","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Local Economic Development and Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Order (exchange); Livelihood; Government (linguistics); Informal sector; Exploit; Population; Economic growth; Business; Geography; Economics; Finance; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008119692,0.0002252964,0.0002051066,0.0007502054,0.004023447,0.003281273,0.0004247006,0.0005194415,0.002985597],"category_scores_gemma":[0.001005148,0.0002327987,0.0001120751,0.001173305,0.003554405,0.002027078,0.003408494,0.0007117541,0.0001099896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829851,"about_ca_system_score_gemma":0.001954737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05082086,"about_ca_topic_score_gemma":0.1234611,"domain_scores_codex":[0.9994418,0.000225187,0.00001347306,0.00003882064,0.00003829105,0.000242487],"domain_scores_gemma":[0.9995945,0.0001363814,0.0001194224,0.00001890629,0.00002790656,0.0001028855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008232013,0.00004799658,0.1438679,0.0001869857,0.0000132427,0.00301079,0.8164448,0.0000973071,0.002523161,0.007922866,0.0005915349,0.02521123],"study_design_scores_gemma":[0.000004624578,0.00003973527,0.1100525,0.0002178506,0.00001244283,0.0004897187,0.8755399,0.0001163308,0.0001740224,0.000587167,0.01275746,0.000008288633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953193,0.0004778871,0.0001495986,0.0005951033,0.000004940887,0.00001488816,0.00001515686,0.000001509094,0.003421519],"genre_scores_gemma":[0.9986847,0.0003455935,0.0001758321,0.0000698993,0.000002515637,0.00001081165,0.000009294495,0.000001215446,0.0007001462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05082086,"threshold_uncertainty_score":0.1010501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247752737664052,"score_gpt":0.3424657302397993,"score_spread":0.3176904564733941,"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."}}