{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004317655,0.00005678296,0.0000986349,0.00001590837,0.00009145911,0.00002672471,0.00005292229,0.00005130112,0.000003605741],"category_scores_gemma":[0.00009398987,0.00002134052,0.00004618067,0.00009045383,0.0000235618,0.00009546245,0.00001164084,0.00006276622,2.292893e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001331997,"about_ca_system_score_gemma":0.000006139239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007860956,"about_ca_topic_score_gemma":0.000117064,"domain_scores_codex":[0.9994511,0.00003040313,0.0002672766,0.00006428736,0.00008027681,0.0001066568],"domain_scores_gemma":[0.9994602,0.0001582535,0.0002299859,0.00002266637,0.00007231404,0.00005657887],"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":[0.00002690579,0.00002544926,0.0006049654,0.000003692454,0.000009316493,3.417073e-7,0.0001974161,0.00002563698,0.8698,0.00002021377,0.00001168104,0.1292744],"study_design_scores_gemma":[0.0016296,0.00383263,0.2535957,0.00008369138,0.0002903072,0.0007221956,0.001629608,0.01033404,0.712219,0.0007576586,0.01447471,0.0004308786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933029,0.002250254,0.003649106,0.0003884326,0.0002361988,0.0001399189,0.00002804502,0.000002010109,0.000003096668],"genre_scores_gemma":[0.998807,0.0003349525,0.0004748103,0.00002598809,0.0003392214,0.00000112183,0.00000217797,6.965777e-7,0.00001409904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2529907,"threshold_uncertainty_score":0.08702413,"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."}}