{"id":"W4310570341","doi":"10.1093/g3journal/jkac304","title":"A long-read and short-read transcriptomics approach provides the first high-quality reference transcriptome and genome annotation for <i>Pseudotsuga menziesii</i> (Douglas-fir)","year":2022,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Transcriptome; Biology; Genome; De novo transcriptome assembly; Sequence assembly; Computational biology; Gene; Annotation; Genome project; Gene Annotation; Genetics; Gene expression","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":[0.0006989824,0.0008317965,0.0006596936,0.0005222263,0.0007205757,0.0008244727,0.0005392352,0.0006803325,0.001248213],"category_scores_gemma":[0.0007774086,0.0003868817,0.0009695233,0.0007443321,0.0002756234,0.0005892035,0.0004634179,0.0007767865,0.001143128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006343488,"about_ca_system_score_gemma":0.0009565458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004563806,"about_ca_topic_score_gemma":0.01188937,"domain_scores_codex":[0.9995308,0.00003404132,0.00003639195,0.0002383593,0.0001165333,0.0000439193],"domain_scores_gemma":[0.9994369,0.00008686959,0.000134435,0.00007068694,0.0002249117,0.00004612953],"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":[0.0001644305,0.00004552167,0.004825845,0.0004180621,0.00005130414,0.0002210541,0.0002070993,0.001398315,0.9749029,0.0005529134,0.001099122,0.01611339],"study_design_scores_gemma":[0.00009432931,0.001074868,0.1716311,0.0003015256,0.0004969765,0.001808097,0.0006998918,0.03104173,0.6902598,0.002404259,0.09999988,0.0001876492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6816643,0.005121187,0.2410373,0.0005596932,0.0003932435,0.0003254315,0.05964707,0.004142214,0.007109623],"genre_scores_gemma":[0.501374,0.002972261,0.3403216,0.0005878721,0.0001332674,0.000453652,0.1463667,0.0008068332,0.006983834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004563806,"threshold_uncertainty_score":0.009074509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330895849149598,"score_gpt":0.2590495205392757,"score_spread":0.2259599356243159,"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."}}