{"id":"W2593409937","doi":"10.3390/microarrays6010006","title":"Use of a Pan–Genomic DNA Microarray in Determination of the Phylogenetic Relatedness among Cronobacter spp. and Its Use as a Data Mining Tool to Understand Cronobacter Biology","year":2017,"lang":"en","type":"review","venue":"Microarrays","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Health Canada","funders":"U.S. Food and Drug Administration; Oak Ridge Institute for Science and Education; Gachon University; Kyungpook National University","keywords":"Cronobacter; Biology; Cronobacter sakazakii; Enterobacter; Microbiology; Subspecies; Phylogenetic tree; Multilocus sequence typing; Genetics; Zoology; Genotype; Gene; Bacteria; Escherichia coli","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004582116,0.0005895527,0.001272784,0.0002695168,0.0001255009,0.0002130197,0.001608214,0.0007716398,0.00002598948],"category_scores_gemma":[0.0003943003,0.000467018,0.0002707143,0.0001689375,0.0004046833,0.00006239449,0.002006797,0.0003437472,0.000009818594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009707571,"about_ca_system_score_gemma":0.0004132411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002834038,"about_ca_topic_score_gemma":0.001048664,"domain_scores_codex":[0.9965689,0.0004947109,0.001048846,0.001170875,0.0001356546,0.000581082],"domain_scores_gemma":[0.9964378,0.00009344768,0.0008333953,0.002372633,0.0001481565,0.0001146085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002340117,0.0001964312,0.01633581,0.003808164,0.0004476434,0.00001236909,0.0005205545,6.863944e-7,0.7549246,0.00000479467,0.0002634317,0.2232515],"study_design_scores_gemma":[0.001672677,0.0006628309,0.02760151,0.01019552,0.0008497203,0.0001572251,0.0001518562,0.00001336321,0.04129986,0.00001016141,0.9157099,0.001675453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8101511,0.1875824,0.00003495483,0.00001494488,0.0001811145,0.001226167,0.0007917832,0.000004301783,0.00001321157],"genre_scores_gemma":[0.1583391,0.8378263,0.0008580721,0.00006835051,0.0001433234,0.00007989953,0.001493729,0.0001762478,0.001014997],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9154464,"threshold_uncertainty_score":0.9997782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1492914987576472,"score_gpt":0.3614263075091052,"score_spread":0.212134808751458,"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."}}