{"id":"W2574304546","doi":"10.1534/g3.116.038208","title":"<i>De Novo</i>Genome and Transcriptome Assembly of the Canadian Beaver (<i>Castor canadensis</i>)","year":2017,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Zoo; Ontario Institute for Cancer Research; University of Toronto; SickKids Foundation; Royal Ontario Museum; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Ontario Institute for Cancer Research; Ontario Genomics Institute; Genome Canada; GlaxoSmithKline","keywords":"Sequence assembly; Contig; Genome; Biology; Reference genome; Beaver; Illumina dye sequencing; Genome size; Computational biology; ORFS; Genetics; Gene; Transcriptome; Open reading frame","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002032278,0.0002744026,0.0002685538,0.00005648003,0.0008715076,0.0001122995,0.0007874612,0.0002030692,0.000007390983],"category_scores_gemma":[0.00001353569,0.0002403894,0.0001449211,0.00005039287,0.0004187021,0.000001528745,0.0002922271,0.00009698114,0.000002349772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005634402,"about_ca_system_score_gemma":0.0006683948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01246683,"about_ca_topic_score_gemma":0.2380785,"domain_scores_codex":[0.9985103,0.00005351846,0.0002849009,0.0004234381,0.0001746076,0.0005532482],"domain_scores_gemma":[0.9982277,0.00001026697,0.0001942994,0.001138734,0.0001429355,0.0002861107],"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":[0.00001687872,0.00001669275,0.09541939,0.00003846021,0.0001758631,0.000004454368,0.0003242589,0.000269547,0.8664514,0.00006553211,0.000171904,0.03704556],"study_design_scores_gemma":[0.0005975347,0.0001638801,0.3197681,0.00001082938,0.0001253998,0.00006848681,0.0001242468,0.00004043712,0.08428679,0.0001029662,0.5942612,0.0004501246],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8273392,0.1699836,0.00003133064,0.0005014028,0.000378326,0.0002628122,0.0002297514,0.000002116012,0.001271407],"genre_scores_gemma":[0.9637949,0.03356403,0.0008596547,0.0005169927,0.0002898882,0.00001627678,0.00001145836,0.00004504935,0.0009016977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7821647,"threshold_uncertainty_score":0.9941092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358002321219515,"score_gpt":0.2257934695987156,"score_spread":0.2122134463865205,"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."}}