{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009121964,0.0003625232,0.000608907,0.001718996,0.0001850639,0.0006817176,0.0003834661,0.0009174647,0.0003238978],"category_scores_gemma":[0.0008457123,0.0002603383,0.0005390332,0.001600671,0.0002750585,0.000612695,0.0002818145,0.000600189,0.0003341706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661043,"about_ca_system_score_gemma":0.0002842598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005486376,"about_ca_topic_score_gemma":0.0008164996,"domain_scores_codex":[0.9991591,0.0002157514,0.00009276682,0.0002425964,0.0002441127,0.00004577738],"domain_scores_gemma":[0.9995982,0.0001705505,0.00007391423,0.00002358416,0.0001123705,0.00002139192],"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":[0.0001844576,0.00008089207,0.003819738,0.003587487,0.0001272553,0.0005744097,0.0001508285,0.001350163,0.7763619,0.0005740518,0.001222005,0.2119668],"study_design_scores_gemma":[0.00003117458,0.00142553,0.08220711,0.001193626,0.0006889744,0.008211678,0.0007359044,0.01401437,0.6999108,0.001806456,0.1895033,0.0002710716],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3419337,0.478267,0.1562674,0.004171317,0.0008514065,0.000480042,0.004178199,0.001219906,0.01263115],"genre_scores_gemma":[0.4874067,0.2825672,0.2176775,0.001828762,0.0003396478,0.0005831037,0.004281869,0.00006957297,0.005245747],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001718996,"threshold_uncertainty_score":0.004824162,"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."}}