{"id":"W3112574566","doi":"10.1101/2020.12.07.20239558","title":"Is the glass half full? Extraction-free RT-LAMP to detect SARS-CoV-2 is less sensitive but highly specific compared to standard RT-PCR in 101 samples","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Shared Health","funders":"","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Coronavirus disease 2019 (COVID-19); False positive paradox; Loop-mediated isothermal amplification; Point-of-care testing; Gold standard (test); Primer (cosmetics); 2019-20 coronavirus outbreak; Virology; Internal medicine; Biology; Pathology; Chemistry; DNA; Mathematics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000398296,0.0006363795,0.0008778423,0.0003139254,0.0001385469,0.0002896307,0.0006359655,0.0004062454,0.00006252077],"category_scores_gemma":[0.0002334298,0.0005469853,0.0003323614,0.0006750908,0.00007678862,0.00007635191,0.0004780336,0.001372131,0.0002938514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608122,"about_ca_system_score_gemma":0.00005567284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008763404,"about_ca_topic_score_gemma":0.002675902,"domain_scores_codex":[0.9969054,0.0001445097,0.0007272751,0.000969803,0.0006506688,0.0006022763],"domain_scores_gemma":[0.9980443,0.0002855711,0.0001078159,0.001107007,0.0001902538,0.0002650834],"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":[0.001043556,0.00007096308,0.0005677553,0.0006422377,0.0006275107,0.0003532643,0.004583687,0.01876094,0.8995512,0.0002610559,0.05347736,0.02006052],"study_design_scores_gemma":[0.0007627499,0.0001615902,0.01438312,0.0005235792,0.0001152255,0.00002930009,0.0008179865,0.02462593,0.8010259,0.001796054,0.1543939,0.001364709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293332,0.0001613524,0.05348676,0.01242416,0.001609481,0.000940421,0.0008950905,0.0004301978,0.0007194005],"genre_scores_gemma":[0.9948633,0.0001666945,0.002914251,0.001083527,0.0006689487,0.00007123232,0.0000223245,0.0001204824,0.00008922329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1009165,"threshold_uncertainty_score":0.9996982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06191696181498571,"score_gpt":0.2776794187899623,"score_spread":0.2157624569749766,"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."}}