{"id":"W1964752634","doi":"10.1038/nrmicro2350","title":"Detecting genomic islands using bioinformatics approaches","year":2010,"lang":"en","type":"review","venue":"Nature Reviews Microbiology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":278,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research; University of British Columbia; Simon Fraser University; Michael Smith Health Research BC; Genome Canada","keywords":"Biology; Genome; Computational biology; Bacterial genome size; Horizontal gene transfer; Genomic information; Genomics; Data science; Evolutionary biology; Bioinformatics; Gene; Genetics; Computer science","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":[0.001817514,0.001794424,0.002400449,0.002797828,0.0002477222,0.001345302,0.002149571,0.00115182,0.001686361],"category_scores_gemma":[0.002417412,0.0006092776,0.0008649275,0.002715785,0.000678473,0.001529478,0.0009484171,0.002481075,0.002078958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005992636,"about_ca_system_score_gemma":0.0008714504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222561,"about_ca_topic_score_gemma":0.001702565,"domain_scores_codex":[0.9992386,0.0001234331,0.00004894861,0.0001899461,0.0003587722,0.00004032194],"domain_scores_gemma":[0.9978775,0.001375408,0.0001423596,0.00009543831,0.0004422257,0.00006704422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007405222,0.00008173828,0.0008939233,0.005545988,0.0001977717,0.0001347188,0.00004327146,0.002092631,0.02659358,0.003030414,0.01458213,0.9467298],"study_design_scores_gemma":[0.0001587299,0.0003951681,0.01131488,0.005757855,0.001090858,0.004442747,0.0002644409,0.03065398,0.08224379,0.05420515,0.8091435,0.0003290045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003810556,0.7998743,0.1830799,0.002586413,0.001485907,0.0001651896,0.001180849,0.001979135,0.005837819],"genre_scores_gemma":[0.01579404,0.7301517,0.2434736,0.002286352,0.001280701,0.0002375974,0.003150232,0.0002219789,0.003403807],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002797828,"threshold_uncertainty_score":0.009612024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05690742358800292,"score_gpt":0.306785912250677,"score_spread":0.2498784886626741,"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."}}