{"id":"W3011678041","doi":"10.1101/gr.258640.119","title":"Accurate and complete genomes from metagenomes","year":2020,"lang":"en","type":"review","venue":"Genome Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":403,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biological and Environmental Research; National Institute of Allergy and Infectious Diseases; Lawrence Berkeley National Laboratory; National Institute of General Medical Sciences; Office of Science; National Institutes of Health; Innovative Genomics Institute; Genome Canada; University of California Berkeley; U.S. Department of Energy","keywords":"Genome; Biology; Metagenomics; Bacterial genome size; Computational biology; Genomics; Shotgun sequencing; Genetics; Sequence assembly; Gene; Transcriptome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002130188,0.001569819,0.001960598,0.003487987,0.0003639681,0.002074379,0.001937567,0.001856746,0.003412228],"category_scores_gemma":[0.003048462,0.0005923203,0.0007384961,0.003468762,0.001136181,0.003936247,0.001620263,0.00361508,0.005137186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405928,"about_ca_system_score_gemma":0.002106169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230691,"about_ca_topic_score_gemma":0.001119044,"domain_scores_codex":[0.999233,0.0001193,0.00008508001,0.0001424276,0.0003569491,0.00006318354],"domain_scores_gemma":[0.9989146,0.0003734078,0.0001412998,0.00009362282,0.0003760875,0.0001009468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001211888,0.00004673499,0.0001727804,0.02365097,0.0001002745,0.0002452696,0.0001169844,0.0008291358,0.009929913,0.02717292,0.0380582,0.8995556],"study_design_scores_gemma":[0.000007824741,0.00003774645,0.0003356584,0.002253912,0.00004327354,0.0004766675,0.00003461174,0.0000920751,0.002572894,0.004369529,0.989754,0.00002187157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002866004,0.9931775,0.00253386,0.0006209283,0.0005611811,0.00002217854,0.0002201121,0.00005736925,0.002520279],"genre_scores_gemma":[0.001663476,0.9926826,0.003229429,0.0004014483,0.0002357233,0.00002952154,0.0006213796,0.0000255474,0.001110945],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003487987,"threshold_uncertainty_score":0.011415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2194429092067851,"score_gpt":0.4100852115075093,"score_spread":0.1906423023007242,"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."}}