{"id":"W2790921906","doi":"10.1093/bioinformatics/bty095","title":"Improved genomic island predictions with IslandPath-DIMOB","year":2018,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Computer science; Computational biology; Biology","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":[0.00161759,0.002191327,0.001203005,0.004528672,0.0005193282,0.001606032,0.001419008,0.0009765616,0.004662714],"category_scores_gemma":[0.005876365,0.0006070168,0.001407677,0.002161152,0.0002041274,0.00161111,0.001603872,0.0008956212,0.003131031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003756477,"about_ca_system_score_gemma":0.0008682085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003907816,"about_ca_topic_score_gemma":0.005947863,"domain_scores_codex":[0.9991863,0.0001586885,0.00005946111,0.0002816817,0.0002485176,0.00006539955],"domain_scores_gemma":[0.9979613,0.00116315,0.0001570555,0.0002193065,0.0003655179,0.0001337142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002716044,0.0005581274,0.06714083,0.005521993,0.001218732,0.00094442,0.0005198577,0.06550548,0.06034166,0.003406497,0.1967572,0.5953692],"study_design_scores_gemma":[0.0003167163,0.000391138,0.01896826,0.0004444824,0.0003463456,0.0007860551,0.000262219,0.8308762,0.05137121,0.007369102,0.0886218,0.0002464635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2019352,0.006115608,0.4204929,0.0008787574,0.0006068297,0.0004453676,0.08051275,0.2801293,0.008883328],"genre_scores_gemma":[0.2349492,0.001264434,0.5420482,0.0004539798,0.0001628574,0.0003620368,0.209775,0.008212293,0.002772061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004662714,"threshold_uncertainty_score":0.01559836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004793943520078781,"score_gpt":0.2206221854113326,"score_spread":0.2158282418912538,"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."}}