{"id":"W4225894605","doi":"10.1590/0037-8682-0445-2021","title":"COVID-19's intra-urban inequalities and social vulnerability in a medium-sized city","year":2022,"lang":"pt","type":"article","venue":"Revista da Sociedade Brasileira de Medicina Tropical","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overdispersion; Demography; Social vulnerability; Negative binomial distribution; Socioeconomic status; Medicine; Poisson regression; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Geography; Vulnerability (computing); Ecological study; Environmental health; Population; Statistics; Poisson distribution; Psychological intervention; Disease; Mathematics; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005384835,0.0003014073,0.0002730135,0.001205883,0.0009491171,0.001121833,0.0005439185,0.0003340403,0.001448692],"category_scores_gemma":[0.001277673,0.0002220458,0.0004893046,0.001614984,0.0007103765,0.0004462679,0.002123454,0.0006396841,0.0001064809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642023,"about_ca_system_score_gemma":0.00105289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1005079,"about_ca_topic_score_gemma":0.1247733,"domain_scores_codex":[0.9995925,0.000081595,0.00002274873,0.0000913866,0.00005193716,0.0001598083],"domain_scores_gemma":[0.9991937,0.0001141857,0.0002797571,0.00005023336,0.00007721405,0.0002848781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005422632,0.0000436252,0.9981132,0.00001161857,0.000048593,0.00009233377,0.0003298757,0.0001307675,0.0001037179,0.00009735831,0.0001049589,0.0008697692],"study_design_scores_gemma":[0.000002711585,0.00002847067,0.9981961,0.00001122864,0.00001485985,0.00005968657,0.001118294,0.0003142075,0.00002201899,0.00005553609,0.000172373,0.000004485004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992132,0.0001054599,0.00006044568,0.00006498185,0.00000261579,0.000007329635,0.0002365774,0.000001322688,0.0003079607],"genre_scores_gemma":[0.9996353,0.00005659709,0.00005254135,0.000009253101,0.000003237363,0.000007268946,0.0001739202,7.507849e-7,0.00006108619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1005079,"threshold_uncertainty_score":0.1998459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2176601047740687,"score_gpt":0.4223525747864735,"score_spread":0.2046924700124048,"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."}}