{"id":"W4213454339","doi":"10.1038/s42003-022-03114-4","title":"BugSplit enables genome-resolved metagenomics through highly accurate taxonomic binning of metagenomic assemblies","year":2022,"lang":"en","type":"article","venue":"Communications Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Metagenomics; Contig; Computational biology; In silico; Biology; Nanopore sequencing; Genome; Workflow; Computer science; Genetics; Gene; Database","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004798655,0.0002348636,0.0004025009,0.0001101912,0.0006533616,0.00001772889,0.001735947,0.0001028141,0.00004685949],"category_scores_gemma":[0.00006678815,0.000247657,0.0001925878,0.0001933533,0.0004176888,0.000002514924,0.003000163,0.0001958766,0.000009080932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005402664,"about_ca_system_score_gemma":0.0001542855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001642481,"about_ca_topic_score_gemma":0.0000662798,"domain_scores_codex":[0.9982113,0.0004262141,0.0005563498,0.0004163364,0.00005795439,0.0003318299],"domain_scores_gemma":[0.9973363,0.0001126995,0.0003915479,0.002007744,0.0001070715,0.00004467777],"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":[0.00005441063,0.0001103543,0.001453943,0.00001023573,0.0005010032,2.851043e-7,0.0002765497,0.001956276,0.9822322,0.01248982,0.0003565658,0.00055833],"study_design_scores_gemma":[0.0006831815,0.0004513116,0.001959152,0.000002379336,0.0001450474,0.0000147744,0.001198414,0.0003320255,0.04360168,0.002233681,0.9489412,0.0004371273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950213,0.04121737,0.002464052,0.000613606,0.0002692202,0.0004657458,0.0005784128,0.00001393638,0.004164664],"genre_scores_gemma":[0.9793674,0.006403018,0.01263357,0.0002882846,0.00007154353,0.0002845718,0.0006616111,0.0000362319,0.0002537292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9485847,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05763515421892181,"score_gpt":0.2972131714242633,"score_spread":0.2395780172053416,"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."}}