{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001763985,0.0002166256,0.0001508972,0.00007284743,0.0002174502,0.00007373568,0.0002678096,0.0001584632,0.0000762873],"category_scores_gemma":[0.00007006736,0.0001671334,0.00005769524,0.0001265573,0.0002101498,0.00001721077,0.0001427708,0.0001439444,0.0001494319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002033428,"about_ca_system_score_gemma":0.0001202061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001167871,"about_ca_topic_score_gemma":0.0001363971,"domain_scores_codex":[0.9989624,0.00001777462,0.0003784798,0.0001456663,0.0001595085,0.0003361863],"domain_scores_gemma":[0.9989816,0.00001018918,0.0002027695,0.0005429663,0.0001511211,0.0001113451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004113267,0.001238107,0.1590388,0.002442027,0.0033521,0.00002045112,0.03099754,0.004607775,0.2318991,0.003474673,0.4825626,0.0762535],"study_design_scores_gemma":[0.004032671,0.00593861,0.009427648,0.00009126384,0.0001552652,0.0004371267,0.001109647,0.437321,0.02078998,0.00005526469,0.5192991,0.001342416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5703038,0.0001015058,0.3327569,0.0001978167,0.0006401781,0.0008310604,0.0002102743,0.0001917162,0.09476673],"genre_scores_gemma":[0.9174026,0.00006797705,0.07737092,0.000889104,0.0009207302,0.00003285818,0.0004690163,0.00005371528,0.002793127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4327132,"threshold_uncertainty_score":0.6815501,"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."}}