{"id":"W3025706910","doi":"10.1101/2020.05.14.097287","title":"Recommendations for sample pooling on the Cepheid GeneXpert <sup>®</sup> system using the Cepheid Xpert <sup>®</sup> Xpress SARS-CoV-2 assay","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"","keywords":"Pooling; GeneXpert MTB/RIF; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Point of care; Pandemic; Coronavirus disease 2019 (COVID-19); Point-of-care testing; Population; Statistics; Medicine; Computer science; Mathematics; Environmental health; Immunology; Infectious disease (medical specialty); Internal medicine; Disease; Artificial intelligence; Nursing; Tuberculosis","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":[0.1211657,0.002321073,0.001680858,0.007946948,0.001702214,0.003792801,0.008726601,0.005454601,0.04697251],"category_scores_gemma":[0.2346977,0.002288454,0.002886137,0.004266012,0.001910785,0.00349099,0.00294388,0.003166283,0.04282935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738145,"about_ca_system_score_gemma":0.009408442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008521941,"about_ca_topic_score_gemma":0.01078051,"domain_scores_codex":[0.8973817,0.06238115,0.01322555,0.003758886,0.02083185,0.00242095],"domain_scores_gemma":[0.7868561,0.1111832,0.01391751,0.020001,0.06392695,0.004115192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001179764,0.0006541344,0.006553095,0.004034554,0.0001348244,0.0005805898,0.001259559,0.002631449,0.01378582,0.004152819,0.7102293,0.2548041],"study_design_scores_gemma":[0.000552383,0.0006236505,0.01556123,0.006228968,0.0002575119,0.0005271675,0.001292229,0.004305994,0.02273838,0.005418594,0.9421995,0.0002944826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02690697,0.01279589,0.4873467,0.08119781,0.01058285,0.09543011,0.1348867,0.03598918,0.1148639],"genre_scores_gemma":[0.02637462,0.007125192,0.7873065,0.02206487,0.001739137,0.0656006,0.04990441,0.005171496,0.03471315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1211657,"threshold_uncertainty_score":0.6407932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09431658928367072,"score_gpt":0.3011296286052466,"score_spread":0.2068130393215759,"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."}}