{"id":"W4207071782","doi":"10.1016/j.cities.2022.103615","title":"Spatial congruency or mismatch? Analyzing the COVID-19 potential infection risk and urban density as businesses reopen","year":2022,"lang":"en","type":"article","venue":"Cities","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"Fundo para o Desenvolvimento das Ciências e da Tecnologia; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; Hong Kong University of Science and Technology; National Natural Science Foundation of China","keywords":"Context (archaeology); Coronavirus disease 2019 (COVID-19); Pandemic; Geography; Urban planning; Business; Population; Economic geography; Environmental planning; Environmental health; Medicine; 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":[0.005655533,0.0002787338,0.0005889881,0.001194808,0.0008972599,0.002839605,0.001340259,0.001237203,0.007367576],"category_scores_gemma":[0.04282833,0.0003680377,0.0006142199,0.003141002,0.00203083,0.005105783,0.004000164,0.001544792,0.0005834734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008997495,"about_ca_system_score_gemma":0.0009717534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01947216,"about_ca_topic_score_gemma":0.01363226,"domain_scores_codex":[0.9964339,0.002133418,0.0001772994,0.0004903449,0.0002926015,0.0004724396],"domain_scores_gemma":[0.9755957,0.01149624,0.007360545,0.002729486,0.00101746,0.001800556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004318092,0.0002232474,0.9730151,0.00005117062,0.0002218259,0.0001070717,0.003925697,0.001293845,0.0002395134,0.009372787,0.0006852337,0.01043279],"study_design_scores_gemma":[0.00005409235,0.0005013324,0.9214829,0.0001032442,0.0003276819,0.0001951936,0.04187425,0.0089276,0.00045292,0.02188437,0.004151348,0.00004506556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99431,0.0004427665,0.001516226,0.001360985,0.00002491535,0.00001610579,0.0001971383,0.000007682752,0.002124242],"genre_scores_gemma":[0.999124,0.00009118857,0.0002546167,0.00004785375,0.0000106051,0.00001067962,0.0000717716,0.000002987573,0.0003864054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01947216,"threshold_uncertainty_score":0.03871763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355142483703921,"score_gpt":0.3756967091434731,"score_spread":0.240182460773081,"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."}}