{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025432,0.0002279954,0.0004571954,0.001175135,0.000429859,0.00003322876,0.0001118987,0.0001655584,0.00001216231],"category_scores_gemma":[0.0002268414,0.0002111251,0.00007165496,0.002221635,0.001029911,0.0004696237,0.00008082032,0.0003190136,0.00004184631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007185789,"about_ca_system_score_gemma":0.0001940597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002546972,"about_ca_topic_score_gemma":0.0002574708,"domain_scores_codex":[0.9966084,0.0002946967,0.0005981881,0.000651737,0.00120212,0.0006448009],"domain_scores_gemma":[0.999074,0.0001772923,0.0002163725,0.0002825996,0.0001324278,0.0001173228],"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":[0.002017839,0.0003677791,0.001123461,0.00007971017,0.00002165195,0.00001674296,0.00158123,0.00001611509,0.9849768,0.000004865401,0.00005169105,0.0097421],"study_design_scores_gemma":[0.002461159,0.001788602,0.0424786,0.0002806176,0.00003850901,0.00008171362,0.003207532,0.01201078,0.9372534,0.000009969518,0.0001911649,0.000197945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975323,0.00001940476,0.0001262582,0.0004599475,0.00006915461,0.001257939,0.00003885276,0.00007962473,0.000416516],"genre_scores_gemma":[0.9985865,0.00005514816,0.0007870659,0.00005761432,0.00005456745,0.00005846126,0.00004577773,0.00003156535,0.0003233484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04772341,"threshold_uncertainty_score":0.8609433,"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."}}