{"id":"W2161061843","doi":"10.1155/2012/627036","title":"A New Generation Microarray for the Simultaneous Detection and Identification of<i>Yersinia pestis</i>and<i>Bacillus anthracis</i>in Food","year":2012,"lang":"en","type":"article","venue":"Journal of Pathogens","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Canadian Food Inspection Agency","funders":"Government of Canada; Canadian Food Inspection Agency","keywords":"Yersinia pestis; Bacillus anthracis; DNA microarray; Microarray; Oligonucleotide; Biology; Genome; Computational biology; genomic DNA; Microbiology; DNA; Virulence; Genetics; Bacteria; Gene; Gene expression","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":[0.0005223806,0.0006745774,0.0007894604,0.0006992745,0.0004335023,0.0003988763,0.0006039338,0.000903461,0.002025852],"category_scores_gemma":[0.0003895067,0.0004589969,0.0005821907,0.0005177403,0.000244041,0.0005691043,0.0004382584,0.0007723247,0.0009977478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517615,"about_ca_system_score_gemma":0.000409809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004182676,"about_ca_topic_score_gemma":0.00085764,"domain_scores_codex":[0.9993033,0.000126556,0.00003622979,0.0001969693,0.0002603294,0.00007661623],"domain_scores_gemma":[0.9998491,0.00004156812,0.00001779453,0.00002137952,0.00004377478,0.00002643334],"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":[0.00003688466,0.00001519395,0.0001313519,0.00005514446,0.000007641114,0.00001781232,0.000008543528,0.00006770314,0.9948143,0.00009796226,0.0003874231,0.004360078],"study_design_scores_gemma":[0.00003189912,0.0005665621,0.006499186,0.00001764027,0.00008846562,0.0007769351,0.00002970597,0.006648093,0.9576853,0.0002285909,0.02737928,0.00004843985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3771002,0.01002925,0.5868759,0.001533277,0.001099388,0.0008327449,0.006265733,0.006988477,0.009274945],"genre_scores_gemma":[0.2734139,0.005023823,0.6926436,0.0008246289,0.0002146599,0.002092934,0.009402307,0.0001527847,0.01623133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002025852,"threshold_uncertainty_score":0.006777108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112977597964064,"score_gpt":0.2279378893290358,"score_spread":0.2068081133493952,"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."}}