{"id":"W4309175616","doi":"10.1101/2022.11.07.22281957","title":"Clinical Evaluation of the GeneXpert <sup>®</sup> Xpert <sup>®</sup> Xpress SARS-CoV-2/Flu/RSV <i>PLUS</i> Combination Test","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada; Ontario Tech University; Lakeridge Health","funders":"","keywords":"GeneXpert MTB/RIF; Medicine; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Pandemic influenza; Pandemic; Tuberculosis; Mycobacterium tuberculosis; Internal medicine; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007175143,0.000831264,0.001524772,0.0004664966,0.000479163,0.0001055134,0.001177597,0.0008822074,0.0003566761],"category_scores_gemma":[0.01090783,0.0006937378,0.001067486,0.0009307284,0.0004550269,0.0001602244,0.001609446,0.002796201,0.0000828155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000821022,"about_ca_system_score_gemma":0.001398383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004280367,"about_ca_topic_score_gemma":0.00002430556,"domain_scores_codex":[0.9900292,0.002037982,0.002369691,0.001626353,0.003247336,0.0006894289],"domain_scores_gemma":[0.9927967,0.001599671,0.001276061,0.002654042,0.001527672,0.0001458723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009624177,0.006224464,0.5347933,0.001908626,0.001748665,0.0001331094,0.01169709,0.01925692,0.3457947,0.0002257991,0.02509798,0.05215692],"study_design_scores_gemma":[0.008528715,0.000682853,0.02085645,0.001053647,0.001680135,0.0002077686,0.001030523,0.6507609,0.2818518,0.0008437904,0.03145254,0.001050921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851731,0.001082024,0.0002504977,0.00131673,0.001939145,0.003096575,0.00008698529,0.0003938125,0.006661135],"genre_scores_gemma":[0.9922841,0.0001024545,0.0006166081,0.004528913,0.00103402,0.0007137412,0.0001850239,0.0001972555,0.0003378537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6315039,"threshold_uncertainty_score":0.9995514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1148357812854307,"score_gpt":0.3847250525965386,"score_spread":0.269889271311108,"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."}}