{"id":"W2124183748","doi":"10.2166/wh.2009.215","title":"The detection of Yersinia enterocolitica in surface water by quantitative PCR amplification of the ail and yadA genes","year":2009,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Canadian Water Network; Public Health Agency; Public Health Agency of Canada","keywords":"Yersinia enterocolitica; Yersinia; Virulence; Biology; Gene; Microbiology; Polymerase chain reaction; Watershed; Surface water; Bacteria; Genetics; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.00057747,0.00005362564,0.0001251119,0.00002586262,0.00007113708,0.00001370156,0.00007838215,0.00003990657,0.000001050439],"category_scores_gemma":[0.00001159723,0.00002507164,0.00002842403,0.00002667156,0.00007811015,0.000007524343,0.00002384362,0.00008802291,1.65688e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000168118,"about_ca_system_score_gemma":0.00003627909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007504628,"about_ca_topic_score_gemma":0.00008737839,"domain_scores_codex":[0.9992573,0.0001257059,0.0002841662,0.00007555765,0.0001045311,0.0001527287],"domain_scores_gemma":[0.9996435,0.00001519097,0.0001061043,0.0000867291,0.000103704,0.00004478586],"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":[0.0002233307,0.00003115755,0.009017343,0.00002706101,0.00001145295,1.748618e-7,0.0005589564,0.000005414469,0.9890263,0.000005512289,0.00006006345,0.001033253],"study_design_scores_gemma":[0.0003720531,0.000833049,0.102668,0.00002304509,0.000004325732,0.00002120197,0.000238244,0.00002140832,0.8941907,0.00007432122,0.001522753,0.0000309588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954057,0.001289481,0.0001413674,0.002996397,0.00003579181,0.0001148978,0.000005310273,3.677374e-7,0.00001070912],"genre_scores_gemma":[0.9984838,0.001283731,0.00008419475,0.00008308296,0.00001751869,4.772859e-7,0.000004012141,0.000003204271,0.00003999218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09483562,"threshold_uncertainty_score":0.1022392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126820669756505,"score_gpt":0.3188620958168579,"score_spread":0.2975938891192928,"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."}}