{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002131795,0.000188321,0.0001760345,0.00004107238,0.001055681,0.0000845634,0.0002627142,0.00002814788,0.00003825469],"category_scores_gemma":[0.0000140801,0.0001187377,0.00005687603,0.00004898077,0.0001065365,0.000001869116,0.0003417305,0.0001953848,3.235571e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002199366,"about_ca_system_score_gemma":0.00006742583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001143287,"about_ca_topic_score_gemma":0.00003598394,"domain_scores_codex":[0.9990252,0.0001106714,0.0001846173,0.0002234523,0.0001897532,0.0002662645],"domain_scores_gemma":[0.9995205,0.00003853557,0.0001515675,0.0001658912,0.00005185969,0.00007161511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004019849,0.00002380227,0.01941654,0.00001104125,0.0005307598,0.00003976496,0.001569418,0.001236159,0.9726761,0.00005047371,0.0003642174,0.003679741],"study_design_scores_gemma":[0.009419485,0.007599446,0.5957252,0.0001315006,0.001318526,0.02302471,0.04711526,0.001929416,0.2523511,0.006235368,0.05153085,0.003619167],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882184,0.0104839,0.0003644318,0.0001582613,0.0002479081,0.0001229036,0.0002148201,0.000003113117,0.0001862665],"genre_scores_gemma":[0.9957997,0.003018722,0.0006174555,0.000133258,0.0002788923,0.00001259643,0.00003828524,0.00002087297,0.00008022639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7203251,"threshold_uncertainty_score":0.8119553,"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."}}