{"id":"W1991909065","doi":"10.1038/nature10549","title":"A draft genome of Yersinia pestis from victims of the Black Death","year":2011,"lang":"en","type":"article","venue":"Nature","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":799,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Michael G. DeGroote Institute for Infectious Disease Research, McMaster University; Wenner-Gren Foundation; Carl-Zeiss-Stiftung; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; University at Albany; McMaster University; James S. McDonnell Foundation","keywords":"Yersinia pestis; Genome; Biology; Plague (disease); Genetics; Geography; Gene; Virulence; Archaeology","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":[0.0004246827,0.0008844281,0.001173497,0.0019569,0.001082891,0.001300347,0.0007654517,0.001420764,0.003812999],"category_scores_gemma":[0.001719118,0.0007972422,0.001129917,0.003986454,0.0004508355,0.0006562612,0.0008190641,0.001657019,0.002332697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006769348,"about_ca_system_score_gemma":0.001528704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009065068,"about_ca_topic_score_gemma":0.01445846,"domain_scores_codex":[0.9997171,0.00002539382,0.00003087112,0.00009330959,0.00008829255,0.00004498614],"domain_scores_gemma":[0.9990612,0.0002326882,0.0001946628,0.00009490219,0.0002862111,0.0001304891],"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":[0.002798217,0.0001159969,0.01928952,0.005304821,0.0004237625,0.006911955,0.003316816,0.002947748,0.8693852,0.0010464,0.01662542,0.07183407],"study_design_scores_gemma":[0.0004166888,0.001133925,0.5467197,0.001370165,0.001774004,0.008498242,0.002135259,0.003752772,0.06329117,0.002173203,0.3683835,0.0003513301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4728033,0.01466178,0.0354344,0.00261985,0.0009632729,0.0005400599,0.4624618,0.002116533,0.008398885],"genre_scores_gemma":[0.2068255,0.009618435,0.06614201,0.0004341292,0.0002971281,0.0003683234,0.709402,0.0008751263,0.006037339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009065068,"threshold_uncertainty_score":0.01802462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130155493657468,"score_gpt":0.2549482794978566,"score_spread":0.2419327301321098,"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."}}