{"id":"W3090315993","doi":"10.21203/rs.3.rs-70959/v1","title":"Social Determinants of Health and COVID-19 Among Patients in New York City","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Medicaid; Ethnic group; Coronavirus disease 2019 (COVID-19); Poverty; Crowding; Demography; Census; Medicine; Gerontology; Disease; Health care; Environmental health; Psychology; Infectious disease (medical specialty); Population; Political science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004699322,0.0003117484,0.001593344,0.0006549716,0.0002868344,0.00004724461,0.0004553802,0.0004388557,0.00008923929],"category_scores_gemma":[0.1320737,0.0002820491,0.000237373,0.0008683818,0.001043827,0.00004545159,0.003893188,0.003245917,0.00001124419],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361894,"about_ca_system_score_gemma":0.01465132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02693384,"about_ca_topic_score_gemma":0.002729769,"domain_scores_codex":[0.9924736,0.00150182,0.001145779,0.001092067,0.002720719,0.001065995],"domain_scores_gemma":[0.9898251,0.00642233,0.0003568037,0.0006363559,0.0006123985,0.002147038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000788735,0.0003687015,0.9419389,0.01783434,0.00005966719,0.00007662152,0.004366125,0.000004412387,0.000001566582,0.00002616017,0.01140574,0.02312906],"study_design_scores_gemma":[0.003219424,0.001509463,0.9841841,0.001988118,0.00001319403,1.38473e-7,0.0005718404,0.0004226981,0.00001119285,0.002893495,0.004993245,0.0001930531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605525,0.001367958,0.00009990291,0.03271432,0.00007721532,0.004654848,0.0002282155,0.00006397975,0.0002410646],"genre_scores_gemma":[0.9958709,0.002200008,0.00009938044,0.0009019317,0.0002620602,0.0001094273,0.0001039785,0.00004249321,0.0004098396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1273744,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3699959327851257,"score_gpt":0.5805487550286124,"score_spread":0.2105528222434867,"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."}}