{"id":"W2109616396","doi":"10.1155/2012/781652","title":"Rapid Detection and Identification of<i>Yersinia pestis</i>from Food Using Immunomagnetic Separation and Pyrosequencing","year":2012,"lang":"en","type":"article","venue":"Journal of Pathogens","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; National Research Council Canada; Canadian Food Inspection Agency","funders":"National Institutes of Health","keywords":"Yersinia pestis; Immunomagnetic separation; Pyrosequencing; Plague (disease); Contaminated food; Contamination; Food microbiology; Identification (biology); Biology; Food science; Computational biology; Medicine; Microbiology; Bacteria; Gene; Genetics; Virulence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007661618,0.0004775242,0.000464077,0.0005918835,0.0002330438,0.0006363434,0.0003089239,0.0005526029,0.0003452628],"category_scores_gemma":[0.001034337,0.0002420285,0.0003123129,0.0003329821,0.0003702434,0.0002553972,0.0004560874,0.000544288,0.0004930724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001865688,"about_ca_system_score_gemma":0.0002801065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006067736,"about_ca_topic_score_gemma":0.00105285,"domain_scores_codex":[0.9991775,0.0001700611,0.0000611314,0.0001607743,0.000349712,0.00008084242],"domain_scores_gemma":[0.9995804,0.0001701423,0.00009349609,0.0000422233,0.00008918253,0.00002457556],"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":[0.00002092929,0.00001614754,0.0006154472,0.00002749354,0.000004360627,0.00002702453,0.00001996621,0.0001125961,0.9960302,0.00005726421,0.00005139911,0.003017204],"study_design_scores_gemma":[0.000004848187,0.0001871711,0.009884271,0.00001263865,0.00001468822,0.0002742632,0.00004734481,0.003597928,0.9833557,0.0001395477,0.002466218,0.00001552693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8070177,0.002526494,0.1832775,0.0004366521,0.0001175373,0.000231261,0.00199305,0.0007112785,0.003688568],"genre_scores_gemma":[0.769237,0.002503461,0.2213106,0.0003527805,0.00006184488,0.0002506455,0.002971942,0.0001365536,0.003175177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007661618,"threshold_uncertainty_score":0.004051864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139698502423893,"score_gpt":0.2877190311325158,"score_spread":0.2663220461082769,"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."}}