{"id":"W2495590690","doi":"10.1128/aem.00077-16","title":"Evaluation of Various Campylobacter-Specific Quantitative PCR (qPCR) Assays for Detection and Enumeration of Campylobacteraceae in Irrigation Water and Wastewater via a Miniaturized Most-Probable-Number–qPCR Assay","year":2016,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Provincial Laboratory of Public Health; University of Calgary; University of Alberta","funders":"","keywords":"Campylobacter; Campylobacter jejuni; Biology; Microbiology; Arcobacter; Bacteria; Primer (cosmetics); Enumeration; Real-time polymerase chain reaction; Sewage; Polymerase chain reaction; Veterinary medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006282515,0.002114531,0.0008971428,0.001435124,0.0004597327,0.0009715668,0.001660107,0.001422215,0.001350219],"category_scores_gemma":[0.005245493,0.001063852,0.001056337,0.0008091442,0.001220417,0.0007384859,0.0009429798,0.001147806,0.001166395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006519426,"about_ca_system_score_gemma":0.00064109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007551573,"about_ca_topic_score_gemma":0.002041168,"domain_scores_codex":[0.9933383,0.002372058,0.0007618763,0.00140588,0.001829535,0.00029233],"domain_scores_gemma":[0.9962172,0.001571133,0.0005167943,0.0003134029,0.00121695,0.0001645002],"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":[0.0002052595,0.0002063291,0.002491867,0.0003838778,0.0000482219,0.00001669549,0.0001040294,0.0009812574,0.9850357,0.0001260512,0.0001345058,0.01026629],"study_design_scores_gemma":[0.00002178181,0.001640597,0.003519295,0.00005534944,0.000117596,0.0001236872,0.00006700324,0.008324911,0.9837201,0.0000880725,0.002264634,0.00005694832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6071805,0.007047347,0.3749122,0.000457864,0.0004286721,0.001539943,0.002616964,0.001429209,0.004387382],"genre_scores_gemma":[0.4972659,0.002731207,0.4883021,0.0003887663,0.000124041,0.00213226,0.003518302,0.0001979425,0.005339487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006282515,"threshold_uncertainty_score":0.03322548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183629225025413,"score_gpt":0.2155891569313737,"score_spread":0.1972262344288324,"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."}}