{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004984772,0.0006816526,0.0003621363,0.0008338582,0.000285426,0.0006778826,0.0002895498,0.0002716877,0.0006006426],"category_scores_gemma":[0.0006907277,0.0002276753,0.0002249794,0.001033145,0.0005880713,0.0002376597,0.0002664598,0.0003313826,0.0002810385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007407816,"about_ca_system_score_gemma":0.0006747099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02797521,"about_ca_topic_score_gemma":0.05094621,"domain_scores_codex":[0.9991704,0.00008547856,0.00003802998,0.0002109792,0.0003816981,0.0001134152],"domain_scores_gemma":[0.9992818,0.0001583446,0.0002226408,0.00004243894,0.0002564192,0.00003825711],"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":[0.00007877034,0.00003277873,0.0163684,0.00009161698,0.00001063222,0.00003103043,0.0002980258,0.00007504843,0.9774563,0.0000415502,0.00004458583,0.005471349],"study_design_scores_gemma":[0.00001957256,0.0007110997,0.3792423,0.0000655621,0.00008646055,0.000252487,0.001152785,0.003667976,0.6100743,0.0001170446,0.004566117,0.00004432644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97206,0.0007900412,0.02175098,0.00005798536,0.00001306306,0.000181706,0.002556141,0.0001644454,0.002425676],"genre_scores_gemma":[0.9475226,0.001374456,0.04004633,0.0001106005,0.00001096422,0.0004673401,0.003460942,0.00004314178,0.00696356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02797521,"threshold_uncertainty_score":0.05562472,"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."}}