{"id":"W4385667793","doi":"10.1007/s11356-023-29123-2","title":"Comparison of ordinary reverse transcription real-time polymerase chain reaction (qRT-PCR) with a newly developed one-step single-tube nested real-time RT-PCR (OSN-qRT-PCR) for sensitive detection of SARS-CoV-2 in wastewater","year":2023,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cargill (Canada)","funders":"European Regional Development Fund; Agentúra na Podporu Výskumu a Vývoja; Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky; Slovenská Akadémia Vied","keywords":"Real-time polymerase chain reaction; Reverse transcription polymerase chain reaction; Biology; Polymerase chain reaction; Molecular biology; Reverse transcriptase; Virology; Wastewater; Gene; Chemistry; Messenger RNA; Genetics","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":[0.004251326,0.001661232,0.001267529,0.0006842375,0.0002098349,0.0009149723,0.0009526164,0.0009895208,0.0009150076],"category_scores_gemma":[0.002720386,0.0007429764,0.001019063,0.0005944151,0.0009410519,0.000908926,0.000599305,0.001127703,0.0005744557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004208353,"about_ca_system_score_gemma":0.0004446747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002615292,"about_ca_topic_score_gemma":0.00085402,"domain_scores_codex":[0.9933021,0.002021345,0.0006494801,0.002174574,0.001566677,0.000285782],"domain_scores_gemma":[0.9974017,0.001317844,0.0004130079,0.0003177511,0.0004801762,0.00006946854],"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":[0.0001859687,0.00006198101,0.0009906484,0.0002841981,0.00002811587,0.00002886048,0.00006677121,0.0002684239,0.9926043,0.0001106112,0.00004410248,0.005325968],"study_design_scores_gemma":[0.00002104117,0.0009531693,0.004250557,0.0000241672,0.0001129073,0.0003531026,0.00004898876,0.006501185,0.9843764,0.00008489828,0.003224307,0.00004937167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4418564,0.004532645,0.5474311,0.0002785075,0.0008902464,0.0005656452,0.001255518,0.001151244,0.00203869],"genre_scores_gemma":[0.3181128,0.002284168,0.6742402,0.0002285821,0.0001334747,0.001148745,0.001594965,0.0001727087,0.002084239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004251326,"threshold_uncertainty_score":0.02248347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043160110862094,"score_gpt":0.3577034430749009,"score_spread":0.2533874319886916,"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."}}