{"id":"W1519765314","doi":"10.1038/nmeth.3444","title":"A complete bacterial genome assembled de novo using only nanopore sequencing data","year":2015,"lang":"en","type":"article","venue":"Nature Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1513,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Medical Research Council","keywords":"Nanopore sequencing; Contig; Nanopore; Sequence assembly; Computational biology; Genome; Bacterial genome size; Biology; Chromosome; Genetics; Gene; Nanotechnology; Materials science","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":[0.0004025806,0.001624023,0.001239985,0.001450321,0.001757605,0.001335012,0.000898562,0.001580607,0.006728041],"category_scores_gemma":[0.001667111,0.001222807,0.001509733,0.002278659,0.0004155506,0.001109842,0.0008400316,0.002758847,0.00393253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007486663,"about_ca_system_score_gemma":0.002617457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005341956,"about_ca_topic_score_gemma":0.01213422,"domain_scores_codex":[0.9996423,0.00002698219,0.00002417755,0.000135222,0.0001086717,0.00006271603],"domain_scores_gemma":[0.9992744,0.0001703804,0.00005461954,0.000167611,0.0002231445,0.0001097344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001529159,0.0001940692,0.004230763,0.001947183,0.0002904732,0.001286381,0.0004265094,0.004841843,0.930856,0.002942364,0.01941213,0.03204313],"study_design_scores_gemma":[0.0003006594,0.0005932251,0.07016301,0.0007117052,0.001208559,0.002210859,0.0007687692,0.03307524,0.5513433,0.01331585,0.3258851,0.0004237735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3459533,0.003942105,0.2006328,0.001055081,0.002035724,0.0005117144,0.4091536,0.01936681,0.0173489],"genre_scores_gemma":[0.2352394,0.002253021,0.3377789,0.0003715687,0.00008610633,0.0004404372,0.4147234,0.003343981,0.005763225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006728041,"threshold_uncertainty_score":0.02250761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140605227442007,"score_gpt":0.408737940380948,"score_spread":0.268132712938941,"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."}}