{"id":"W4210662951","doi":"10.1515/cclm-2022-0053","title":"Diagnostic performance of the fully automated Roche Elecsys SARS-CoV-2 antigen electrochemiluminescence immunoassay: a pooled analysis","year":2022,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Roche Diagnostics; Medicine; Immunoassay; Electrochemiluminescence; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Gold standard (test); Internal medicine; Virology; Disease; Immunology; Antibody; Detection limit; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.00154062,0.0003099275,0.0009462457,0.00007717723,0.000383603,0.00001051086,0.0003508967,0.0001939336,0.0001241312],"category_scores_gemma":[0.006218356,0.0002323443,0.0002357748,0.002710088,0.0006115997,0.00005783509,0.0002068757,0.001133787,0.000003197371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008491002,"about_ca_system_score_gemma":0.0004223018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003166786,"about_ca_topic_score_gemma":0.000002378192,"domain_scores_codex":[0.9970551,0.0002144761,0.001149585,0.0005872893,0.0006018849,0.000391739],"domain_scores_gemma":[0.9970831,0.001053146,0.000586546,0.0007404303,0.0004218648,0.0001149126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002455927,0.000213708,0.09424879,0.0002390852,0.0005630731,0.00003343108,0.0001229786,0.000004818715,0.9025425,0.000001507084,0.001440928,0.0003435623],"study_design_scores_gemma":[0.002325349,0.0005233989,0.03263835,0.0002271441,0.001850122,0.0001112511,0.0003343536,0.007709156,0.9507577,0.000006019485,0.003258668,0.0002585241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961213,0.001852906,0.00001950362,0.0006845167,0.0001990694,0.0002749303,0.00002071447,0.000240192,0.000586846],"genre_scores_gemma":[0.9963872,0.0001601554,0.00007047316,0.002853582,0.0003232915,0.00005014833,0.00003338347,0.00002985003,0.00009189949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06161044,"threshold_uncertainty_score":0.9474728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583485143081859,"score_gpt":0.3265582192584146,"score_spread":0.300723367827596,"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."}}