{"id":"W3048791831","doi":"10.2139/ssrn.3665695","title":"Slums and Pandemics","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Slum; Pandemic; Welfare; Cash; Social distance; Demographic economics; Business; Cash transfers; Poverty; Socioeconomics; Geography; Coronavirus disease 2019 (COVID-19); Economics; Development economics; Economic growth; Environmental health; Medicine; Finance; Disease","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":[0.002503533,0.0005716411,0.0003721015,0.00134431,0.006421227,0.00575306,0.000852023,0.004255353,0.03797985],"category_scores_gemma":[0.005149188,0.0002338784,0.0004064993,0.001417915,0.01071838,0.007453328,0.01249732,0.005031275,0.002480884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003883444,"about_ca_system_score_gemma":0.009271092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02183024,"about_ca_topic_score_gemma":0.04088673,"domain_scores_codex":[0.998187,0.0005293895,0.00006696998,0.00009399104,0.0002074276,0.0009152394],"domain_scores_gemma":[0.9978639,0.0004916988,0.0003034015,0.0001254788,0.0002592503,0.0009562637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000879454,0.0001337089,0.01201976,0.000595746,0.00002457051,0.00183803,0.06363017,0.000228124,0.0005486846,0.5169541,0.3068701,0.09706899],"study_design_scores_gemma":[0.00002497491,0.0001218674,0.007059267,0.001090046,0.0000106525,0.0005783152,0.1190678,0.0001074508,0.0001045417,0.07409473,0.7977125,0.00002795927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06663775,0.02599635,0.000510052,0.6356727,0.007729361,0.00007850332,0.000519308,0.00008403691,0.262772],"genre_scores_gemma":[0.8035794,0.03069912,0.0007616619,0.08692608,0.006430299,0.0001707249,0.0003883949,0.00007564588,0.0709686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03797985,"threshold_uncertainty_score":0.1270552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263113425319647,"score_gpt":0.2631930569102723,"score_spread":0.2368817143783076,"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."}}