{"id":"W2043083817","doi":"10.1016/j.watres.2013.10.015","title":"Comparison of two poultry litter qPCR assays targeting the 16S rRNA gene of Brevibacterium sp.","year":2013,"lang":"en","type":"article","venue":"Water Research","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Agriculture and Agri-Food Canada","funders":"Department of Natural Resources; U.S. Environmental Protection Agency","keywords":"Feces; Biology; TaqMan; 16S ribosomal RNA; Pollution; Environmental pollution; Poultry litter; Fecal coliform; Veterinary medicine; Microbiology; Food science; Real-time polymerase chain reaction; Bacteria; Water quality; Gene; Environmental science; Ecology; Genetics; Nutrient","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002620022,0.00009355407,0.0001921885,0.00004278805,0.0001311394,0.00004969615,0.000491842,0.00004974135,0.00650961],"category_scores_gemma":[0.00006341633,0.00004961768,0.0000614077,0.0001609373,0.0004121967,0.0001900619,0.0005363931,0.0002985575,0.001456204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006236966,"about_ca_system_score_gemma":0.000006034376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00324811,"about_ca_topic_score_gemma":0.00001847051,"domain_scores_codex":[0.9974773,0.0006938708,0.0004077126,0.0002242621,0.0007740547,0.0004227989],"domain_scores_gemma":[0.9993364,0.0000796143,0.00006192442,0.0003537438,0.0000852065,0.00008307097],"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":[0.00000874939,0.00008260004,0.2992426,0.00002624009,0.000006529714,5.58605e-7,0.001928407,0.00001607036,0.6923185,0.00002730855,0.00452882,0.001813655],"study_design_scores_gemma":[0.0002363326,0.00007214858,0.1962716,0.00001265083,0.000003169928,8.202584e-7,0.0004467558,0.0006348218,0.7961787,0.0005904257,0.005464405,0.00008818246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918838,0.00002351001,0.0001079392,0.002432515,0.00004878176,0.0003268826,0.000004498185,0.000009731801,0.005162412],"genre_scores_gemma":[0.997377,0.000003741874,0.0003306378,0.000103604,0.0000427228,0.00002599251,0.00001525751,0.00001036548,0.002090653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1038602,"threshold_uncertainty_score":0.9993213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09877297696620042,"score_gpt":0.3865234999541716,"score_spread":0.2877505229879712,"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."}}