{"id":"W4212857781","doi":"10.3390/curroncol29020098","title":"Healthcare Disparities and Outcomes of Cancer Patients in a Community Setting from a COVID-19 Epicenter","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pandemic; Medicaid; Ethnic group; Population; Health care; Health equity; Cancer; Retrospective cohort study; Demography; Family medicine; Coronavirus disease 2019 (COVID-19); Public health; Gerontology; Disease; Environmental health; Internal medicine; Nursing; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004585547,0.0001670115,0.0003401092,0.0007972905,0.002306258,0.001139813,0.0003591361,0.0004995581,0.002462674],"category_scores_gemma":[0.00279281,0.0001460074,0.0002698996,0.001392447,0.000350229,0.0006628348,0.001450121,0.0009077927,0.0001485191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098375,"about_ca_system_score_gemma":0.001852728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04437946,"about_ca_topic_score_gemma":0.09204192,"domain_scores_codex":[0.9993813,0.000148243,0.00004869916,0.0000798614,0.000095122,0.000246815],"domain_scores_gemma":[0.998939,0.000100195,0.0003504432,0.00002727443,0.00014074,0.0004423359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006855407,0.0003436598,0.9926846,0.00002066718,0.00003929782,0.0002272958,0.001140623,0.00003877429,0.00008625151,0.0001741338,0.000949077,0.004227076],"study_design_scores_gemma":[0.00002812768,0.000264067,0.9875655,0.00009934446,0.0000374701,0.0004921043,0.009187374,0.0002935935,0.00006580936,0.0003364737,0.001610142,0.00001998489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971173,0.0002651934,0.00002512797,0.0007037108,0.00001644712,0.00001821004,0.0002134643,0.000001455078,0.001639125],"genre_scores_gemma":[0.9990944,0.0001598692,0.00002738573,0.0003769027,0.00001748478,0.00001080063,0.000187132,0.000001131199,0.0001249082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04437946,"threshold_uncertainty_score":0.08824229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1941178859503436,"score_gpt":0.519061014655226,"score_spread":0.3249431287048824,"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."}}