{"id":"W2119817676","doi":"10.1186/1471-2164-14-69","title":"High quality de novo sequencing and assembly of the Saccharomyces arboricolus genome","year":2013,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Biological Sciences; Centre National de la Recherche Scientifique; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Biotechnology and Biological Sciences Research Council; Royal Swedish Academy of Sciences","keywords":"Biology; Comparative genomics; Genome; Saccharomyces cerevisiae; Genomics; Whole genome sequencing; Genetics; Phylogenetic tree; Computational biology; Sequence assembly; DNA sequencing; Saccharomyces; Phylogenetics; Evolutionary biology; Gene; Transcriptome","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":[0.001258348,0.000862607,0.0006872113,0.001151064,0.0007341893,0.0008973979,0.0007671732,0.0005852537,0.001574782],"category_scores_gemma":[0.002261375,0.0004345557,0.0009214376,0.001205782,0.0002406142,0.000472619,0.0007711874,0.001329435,0.001180316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006064305,"about_ca_system_score_gemma":0.0009009904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00257449,"about_ca_topic_score_gemma":0.005765041,"domain_scores_codex":[0.9994866,0.0001002187,0.0000598872,0.0001378649,0.0001668915,0.00004846383],"domain_scores_gemma":[0.998491,0.0003130936,0.0002374972,0.000297492,0.0005529064,0.0001080205],"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":[0.0005835202,0.0001305093,0.006464043,0.0006606396,0.0001872219,0.0007212839,0.0003979251,0.006744792,0.9312778,0.001274568,0.0027466,0.04881113],"study_design_scores_gemma":[0.000230895,0.0004943719,0.06471503,0.0002129256,0.0007376777,0.001802803,0.0003536781,0.0597311,0.7945585,0.003338768,0.07369121,0.0001330198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6153335,0.003903881,0.3468212,0.000655417,0.0003093034,0.000681072,0.02222452,0.00410013,0.005970885],"genre_scores_gemma":[0.4906303,0.002420174,0.4283048,0.0002164318,0.0001171826,0.0003718495,0.07319225,0.001286553,0.003460569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00257449,"threshold_uncertainty_score":0.006654859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713121269167725,"score_gpt":0.2712158427128379,"score_spread":0.2440846300211606,"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."}}