{"id":"W3166777146","doi":"","title":"COVID-19 Crisis and the Informal Economy: Informal Workers in Dar es Salaam, Tanzania","year":2021,"lang":"en","type":"article","venue":"OpenDocs (Institute of Development Studies)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Tanzania; Dar es salaam; Informal sector; Coronavirus disease 2019 (COVID-19); Economic growth; Development economics; Business; Socioeconomics; Economics; Medicine","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":[0.000791127,0.0002449817,0.0001733677,0.0006526542,0.001867833,0.0008730186,0.0003480651,0.0004838488,0.002065378],"category_scores_gemma":[0.001065867,0.0002043872,0.0001040626,0.0009097891,0.001098303,0.0006379326,0.001531198,0.0006990174,0.0001946884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983262,"about_ca_system_score_gemma":0.002897563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.10415,"about_ca_topic_score_gemma":0.2386134,"domain_scores_codex":[0.9995894,0.0001185532,0.00001550649,0.0000248957,0.00004327501,0.0002083831],"domain_scores_gemma":[0.9993712,0.0001185051,0.0001870141,0.0000136598,0.00008649265,0.0002230888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001708672,0.00025773,0.8369705,0.0002648965,0.00001665241,0.002585347,0.1385025,0.0001494546,0.001469224,0.0007939658,0.002550601,0.0162682],"study_design_scores_gemma":[0.00001824761,0.0002585452,0.7601461,0.0001942371,0.00001545724,0.0002835244,0.2342485,0.0001565623,0.0001754485,0.0001465422,0.004339858,0.00001700715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988056,0.0001788884,0.00001852311,0.0003082355,0.000004332308,0.0000237895,0.00009578149,7.885656e-7,0.0005640227],"genre_scores_gemma":[0.9986734,0.0002433893,0.00006739906,0.000173412,0.000005854456,0.00004484842,0.00008819314,0.000001048066,0.000702376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.10415,"threshold_uncertainty_score":0.2070875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05233865365653367,"score_gpt":0.2871500179098913,"score_spread":0.2348113642533576,"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."}}