{"id":"W3181060361","doi":"10.3390/life11070660","title":"Analytical Performance of COVID-19 Detection Methods (RT-PCR): Scientific and Societal Concerns","year":2021,"lang":"en","type":"review","venue":"Life","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Institute of Population and Public Health; King Saud University","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Medicine; Data science; Contact tracing; Risk analysis (engineering); Computer science; Intensive care medicine; Infectious disease (medical specialty); Disease; Medical physics; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05098459,0.001782464,0.001282784,0.002398646,0.00116765,0.004650162,0.002534853,0.004301375,0.002107847],"category_scores_gemma":[0.06348661,0.0008420464,0.0009469133,0.001693387,0.004793097,0.00198563,0.001862599,0.002057244,0.003356277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707272,"about_ca_system_score_gemma":0.001863839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550035,"about_ca_topic_score_gemma":0.001254845,"domain_scores_codex":[0.9172654,0.03685064,0.003760565,0.0122222,0.02837464,0.001526546],"domain_scores_gemma":[0.8970051,0.06739791,0.01137943,0.006962138,0.01652725,0.0007282428],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001644498,0.0007390454,0.0929973,0.008171419,0.0008389053,0.001209911,0.004203036,0.008626307,0.3757976,0.01129732,0.01501483,0.4794597],"study_design_scores_gemma":[0.0000748135,0.002852322,0.07398444,0.002777229,0.0007360385,0.005954965,0.002788518,0.02852924,0.6909248,0.02600686,0.1647575,0.0006133502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2696805,0.289782,0.3574611,0.03480647,0.0060983,0.001055766,0.003950478,0.002050704,0.03511469],"genre_scores_gemma":[0.7497833,0.04383044,0.1853486,0.007014789,0.002438409,0.001150521,0.002542908,0.000651683,0.007239317],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9490154,"threshold_uncertainty_score":0.2696355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2611457533460821,"score_gpt":0.4943360132674247,"score_spread":0.2331902599213426,"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."}}