{"id":"W2610656577","doi":"10.1093/nar/gkx343","title":"IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets","year":2017,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1587,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Nuclear Security Administration; Simon Fraser University; Genome British Columbia; Genome Canada; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biology; Genome; Visualization; Genomics; Adaptability; Computational biology; Comparative genomics; Bioinformatics; Data mining; Genetics; Computer science; Ecology; Gene","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":[0.005718628,0.003228345,0.002306487,0.003125064,0.001108531,0.002656461,0.004680527,0.001782823,0.02368497],"category_scores_gemma":[0.0113126,0.001870978,0.003794811,0.00287358,0.0005359172,0.003709437,0.004560045,0.00443131,0.01039771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009428284,"about_ca_system_score_gemma":0.002760746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007940642,"about_ca_topic_score_gemma":0.01386838,"domain_scores_codex":[0.9983777,0.0004481656,0.0001450502,0.0004343103,0.0004437527,0.0001509107],"domain_scores_gemma":[0.9963127,0.00183224,0.0002031055,0.0008892876,0.000421027,0.0003416237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004356865,0.0004879445,0.02161235,0.005139672,0.002338056,0.00103348,0.0017688,0.04989246,0.08338062,0.009570324,0.62941,0.1910094],"study_design_scores_gemma":[0.001461614,0.0003606039,0.01939896,0.0006588291,0.0005263326,0.0006380529,0.0004182671,0.5564555,0.05638415,0.02181731,0.341139,0.0007414189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.0291309,0.001065863,0.3486883,0.0007097503,0.0003776937,0.0005294192,0.1701388,0.4449919,0.004367336],"genre_scores_gemma":[0.04997813,0.0005753196,0.5416628,0.0003032791,0.00009312545,0.001517073,0.3582892,0.04489092,0.002690067],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02368497,"threshold_uncertainty_score":0.07923412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05211454835590884,"score_gpt":0.3484007595310954,"score_spread":0.2962862111751866,"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."}}