{"id":"W4283807461","doi":"10.1111/tpj.15889","title":"Spruce giga‐genomes: structurally similar yet distinctive with differentially expanding gene families and rapidly evolving genes","year":2022,"lang":"en","type":"article","venue":"The Plant Journal","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Université Laval; University of Saskatchewan; Canadian Forest Service; University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Gene; Genome; Biology; Genetics; Evolutionary biology; Gene family; Computational biology","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":[0.0001154567,0.0004561621,0.0002953035,0.0006028331,0.0003570878,0.0004461692,0.0002152107,0.0002906567,0.0005178096],"category_scores_gemma":[0.0002644601,0.0001697118,0.0003774813,0.0009545457,0.0001962058,0.0002199202,0.0003347298,0.0004437228,0.0002881663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206134,"about_ca_system_score_gemma":0.0002603418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002297437,"about_ca_topic_score_gemma":0.004279332,"domain_scores_codex":[0.9998802,0.000008371916,0.000006765755,0.00006650659,0.0000191509,0.00001889213],"domain_scores_gemma":[0.9998268,0.00003011274,0.00005514026,0.00002382023,0.0000296163,0.00003454123],"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":[0.0006774918,0.00005117767,0.02944448,0.0005071796,0.00014364,0.0005082553,0.0007249482,0.0009446374,0.9425754,0.0003451188,0.0006588151,0.02341901],"study_design_scores_gemma":[0.00004796944,0.0002698846,0.8877362,0.0001179909,0.0004363568,0.003090086,0.0008818845,0.004183393,0.06657622,0.001056094,0.03554095,0.00006298559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777168,0.002469803,0.003920478,0.00007600868,0.0000244553,0.00002832744,0.01403395,0.0003589898,0.00137116],"genre_scores_gemma":[0.9099888,0.001523404,0.01659237,0.0001487231,0.00002062637,0.00007024394,0.06947697,0.0001594702,0.00201934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002297437,"threshold_uncertainty_score":0.00456816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040012393278025,"score_gpt":0.2039181158435112,"score_spread":0.1935179919107309,"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."}}