{"id":"W4380794350","doi":"10.1161/circ.146.suppl_1.11750","title":"Abstract 11750: Disparities Among Covid-19 Mortality in Patients With Concurrent Cancer and Cardiovascular Disease in 2020: A Nationwide Analysis","year":2022,"lang":"en","type":"article","venue":"Circulation","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Population; Mortality rate; Disease; Pandemic; Cause of death; Myocarditis; Demography; Internal medicine; Coronavirus disease 2019 (COVID-19); Environmental health; Infectious disease (medical specialty)","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":[0.0008768394,0.0002037923,0.0003026033,0.001426835,0.0004217658,0.0006653829,0.0005424421,0.0003333967,0.002358096],"category_scores_gemma":[0.001792369,0.0001875165,0.0007847176,0.003416748,0.0001806088,0.0005410062,0.001005869,0.0006178336,0.0004077686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000688675,"about_ca_system_score_gemma":0.001148781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03712061,"about_ca_topic_score_gemma":0.04615519,"domain_scores_codex":[0.999337,0.0001057582,0.0001064777,0.0001480938,0.0001660679,0.0001365162],"domain_scores_gemma":[0.9984875,0.0001566622,0.0006191781,0.0001083879,0.0003185341,0.0003097909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003821996,0.00002241513,0.9976634,0.00001751489,0.00007109235,0.00001281765,0.00002300833,0.0000569579,0.00004830608,0.00002871875,0.00102774,0.0009900108],"study_design_scores_gemma":[0.000006649332,0.00001915577,0.998796,0.00001369133,0.0000435734,0.00002724464,0.0001169454,0.0003037132,0.00002719039,0.0000258252,0.0006170244,0.000003035276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647311,0.0004339859,0.0002543134,0.0003880063,0.00002249237,0.00004618621,0.03227261,0.00001781434,0.001833351],"genre_scores_gemma":[0.971245,0.0002967916,0.000265308,0.0002020676,0.00003531589,0.00009584384,0.02741489,0.000007380808,0.0004374749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03712061,"threshold_uncertainty_score":0.07380909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04251904876750905,"score_gpt":0.3462723024692229,"score_spread":0.3037532537017139,"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."}}