{"id":"W3085212466","doi":"10.1139/cjm-2020-0033","title":"Development of droplet digital PCR assays to quantify genes involved in nitrification and denitrification, comparison with quantitative real-time PCR and validation of assays in vineyard soil","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus","funders":"Agriculture and Agri-Food Canada","keywords":"Digital polymerase chain reaction; Nitrification; Denitrification; Biology; Bacteria; Environmental chemistry; Archaea; Microbial ecology; Real-time polymerase chain reaction; Soil microbiology; Biogeochemical cycle; Gene; Chemistry; Polymerase chain reaction; Biochemistry; Genetics; Nitrogen","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002549214,0.00009960758,0.0002789347,0.0001555289,0.00004784415,0.00001017676,0.0001248131,0.00006128512,0.00002559691],"category_scores_gemma":[0.000083213,0.00009427461,0.00001422331,0.0002171281,0.0003063326,0.0001299621,0.00004174471,0.00008737352,0.00001115517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947654,"about_ca_system_score_gemma":0.00006131853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001525361,"about_ca_topic_score_gemma":0.01110593,"domain_scores_codex":[0.9991072,0.00007505703,0.000443363,0.0001706058,0.00006294819,0.0001408144],"domain_scores_gemma":[0.9994018,0.00006887783,0.0003007017,0.00005759074,0.00002585969,0.0001451485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004697057,0.00001761605,0.6385849,0.000009069645,0.0000140324,0.000002987636,0.003733146,0.000239476,0.3568466,0.00000544156,0.0001223572,0.000377409],"study_design_scores_gemma":[0.0006120396,0.0003073479,0.906315,0.00004557275,0.00001540844,0.00001158964,0.003727324,0.00005720475,0.088117,0.0000100107,0.000643897,0.0001375658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989198,0.000128606,0.0001664899,0.0005192899,0.00001246886,0.0001487525,0.00005815034,0.000001267637,0.00004513571],"genre_scores_gemma":[0.9877652,0.00004708085,0.01211056,0.00003755487,0.000002978004,0.00000142468,0.00002596999,0.000004690533,0.000004552298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2687296,"threshold_uncertainty_score":0.6197371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03248506762281975,"score_gpt":0.2262143697013785,"score_spread":0.1937293020785587,"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."}}