{"id":"W3217751110","doi":"10.1161/circ.144.suppl_1.14483","title":"Abstract 14483: Correlating Blood Type, Infection Risk, and Illness Severity in Patients With COVID-19","year":2021,"lang":"en","type":"article","venue":"Circulation","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Illness severity; Severity of illness; Intensive care medicine; Betacoronavirus; Internal medicine; Emergency medicine; Disease; Virology; Infectious disease (medical specialty); Outbreak","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":[0.0006857511,0.0002618635,0.0002514058,0.0009517763,0.0003809961,0.0005444431,0.0003042514,0.0003246267,0.004895351],"category_scores_gemma":[0.002705263,0.0001305844,0.0002552188,0.001330521,0.0002345161,0.0005945978,0.0003682841,0.0006675047,0.0006148445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000226048,"about_ca_system_score_gemma":0.0004103644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978928,"about_ca_topic_score_gemma":0.002080198,"domain_scores_codex":[0.9995839,0.00009594722,0.00007867701,0.00007316822,0.00008737343,0.00008098458],"domain_scores_gemma":[0.9977647,0.0004303444,0.00106861,0.00005720442,0.000263527,0.0004156424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002125214,0.000008037231,0.9994636,0.000004018594,0.000004415297,0.00001807751,0.000008602477,0.000009136022,0.00003176492,0.000003087505,0.0000868966,0.0003411614],"study_design_scores_gemma":[0.000002388502,0.0000833831,0.9989107,0.00001328243,0.000009317891,0.000349782,0.0001797782,0.0001851705,0.00003834417,0.00002124054,0.0002044048,0.000002242297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970186,0.0003464945,0.000182604,0.000217592,0.00003014698,0.0000160835,0.001234955,0.00000674297,0.0009467921],"genre_scores_gemma":[0.9983229,0.0001495987,0.0003388542,0.00005921775,0.00005032834,0.00001714303,0.0008630313,0.00000290754,0.0001959918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004895351,"threshold_uncertainty_score":0.01637661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215469923842514,"score_gpt":0.3634338455430568,"score_spread":0.3312791463046317,"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."}}