{"id":"W2997497753","doi":"10.1186/s12915-019-0728-3","title":"Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies","year":2020,"lang":"en","type":"article","venue":"BMC Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Human Genome Research Institute; Agricultural Research Service; Novartis Stiftung für Medizinisch-Biologische Forschung; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Synteny; Biology; Comparative genomics; Chromosome; Genome; Computational biology; Anopheles; Anopheles stephensi; Genomics; Sequence assembly; Genetics; Gene; Ecology; Malaria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003457689,0.001352919,0.0009771301,0.001804867,0.0008664341,0.001398873,0.0009337229,0.0005592422,0.002520875],"category_scores_gemma":[0.00844425,0.0005620728,0.001344335,0.002118672,0.0004728941,0.001343516,0.001190198,0.001695935,0.00187132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007867923,"about_ca_system_score_gemma":0.001080981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002969335,"about_ca_topic_score_gemma":0.007539901,"domain_scores_codex":[0.998624,0.0003241075,0.0001554427,0.0004024542,0.000362751,0.0001312732],"domain_scores_gemma":[0.9957923,0.001474676,0.0005619933,0.0007889224,0.001231944,0.0001502609],"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":[0.000638805,0.0001630693,0.01519692,0.001024115,0.0003362493,0.0004071978,0.001369415,0.04356209,0.7865396,0.003169717,0.002338859,0.1452539],"study_design_scores_gemma":[0.00008060683,0.0005782227,0.02702389,0.0001571201,0.0006942339,0.0006471277,0.0005128828,0.2086924,0.7228502,0.004798913,0.03376294,0.0002014707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4997436,0.001813211,0.4880764,0.0004102679,0.0001764094,0.0003951376,0.002628339,0.003811476,0.002945141],"genre_scores_gemma":[0.327242,0.0008580603,0.6603833,0.0001973585,0.00005097709,0.0002826843,0.007816708,0.001574881,0.001593972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003457689,"threshold_uncertainty_score":0.01828629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033183027790467,"score_gpt":0.2422265495045283,"score_spread":0.2218947192266237,"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."}}