{"id":"W4386110366","doi":"10.36634/oazc4558","title":"International migrants in Johannesburg's informal economy","year":2016,"lang":"en","type":"report","venue":"Occasional paper","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Informal sector; Economy; Economics; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007290468,0.0002124692,0.0001516903,0.00126814,0.001571503,0.0017157,0.0002283296,0.0005305659,0.009289],"category_scores_gemma":[0.001520939,0.0001126827,0.000105297,0.002469202,0.0004510319,0.001240286,0.002527439,0.000629689,0.0007520244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243761,"about_ca_system_score_gemma":0.002937376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02714539,"about_ca_topic_score_gemma":0.07713832,"domain_scores_codex":[0.9996939,0.00007596375,0.00002090099,0.00001903062,0.00003915125,0.000151143],"domain_scores_gemma":[0.9995715,0.00006858098,0.00008629985,0.00002148165,0.00007427192,0.000177958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008913435,0.0005702822,0.5800062,0.0005939002,0.00004827773,0.003173387,0.07887448,0.00075691,0.003189378,0.07781868,0.08979093,0.1642862],"study_design_scores_gemma":[0.00003932813,0.0001323193,0.7118446,0.0004062258,0.00002895503,0.0004331681,0.08589624,0.0002360674,0.001161605,0.002650829,0.197154,0.00001667308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945005,0.001775231,0.0001018871,0.004114531,0.0002008582,0.00006683829,0.00189955,0.00001051929,0.04682559],"genre_scores_gemma":[0.8979263,0.00345416,0.0002294483,0.0002661792,0.0001614092,0.0001261951,0.001502061,0.000014706,0.09631965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02714539,"threshold_uncertainty_score":0.05397475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03447064986980395,"score_gpt":0.3197259152743655,"score_spread":0.2852552654045615,"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."}}