{"id":"W1979345248","doi":"10.1016/j.mimet.2012.05.012","title":"Rapid detection and antimicrobial resistance gene profiling of Yersinia pestis using pyrosequencing technology","year":2012,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"Defence Research and Development Canada","keywords":"Pyrosequencing; Biology; Amplicon; Gene; Computational biology; Antibiotic resistance; DNA sequencing; Genetics; Yersinia pestis; Virulence; Polymerase chain reaction; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007297533,0.000552712,0.000606915,0.0006751341,0.0003199784,0.0005208796,0.0002988959,0.0006168807,0.0003212724],"category_scores_gemma":[0.001157537,0.0003947034,0.0004190021,0.0004800164,0.0002761974,0.000366571,0.00040135,0.0008005713,0.0003628357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002140622,"about_ca_system_score_gemma":0.0002992621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005750037,"about_ca_topic_score_gemma":0.00108032,"domain_scores_codex":[0.9990195,0.0001895894,0.00005660809,0.0002073373,0.0004466687,0.0000802231],"domain_scores_gemma":[0.9995803,0.0001615373,0.0000525052,0.00004502561,0.0001278442,0.00003268649],"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":[0.00006585974,0.0000225954,0.0004752487,0.00001981208,0.000006394358,0.00001446091,0.00001954305,0.0001217129,0.9962069,0.00004109901,0.00002639468,0.002979879],"study_design_scores_gemma":[0.00001796159,0.0003728692,0.01632271,0.00001292053,0.00004558329,0.0003120166,0.00005671823,0.008747265,0.9723027,0.0002251748,0.001562428,0.00002155616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9037926,0.001513447,0.08957785,0.0001672595,0.00006530224,0.0001846911,0.002600988,0.0003747331,0.001723055],"genre_scores_gemma":[0.8835797,0.001236535,0.1078771,0.0001767413,0.0000414738,0.0003242963,0.003785878,0.00006079365,0.002917429],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007297533,"threshold_uncertainty_score":0.003859341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04245320781356741,"score_gpt":0.3607617818410196,"score_spread":0.3183085740274522,"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."}}