{"id":"W2016774432","doi":"10.1104/pp.111.179663","title":"A White Spruce Gene Catalog for Conifer Genome Analyses  ","year":2011,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; University of Alberta","funders":"U.S. Forest Service; University of Alberta; Canadian Forest Service; McGill University; Université Laval","keywords":"Biology; Genome; Genetics; Arabidopsis; Populus trichocarpa; Genomics; Expressed sequence tag; Gene; Arabidopsis thaliana; Comparative genomics; cDNA library; DNA sequencing; Transcriptome; Functional genomics; Computational biology; Whole genome sequencing; Complementary DNA; Gene expression; Mutant","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":[0.00006152751,0.0001695261,0.0002313298,0.00003308148,0.00009189233,0.000004609953,0.0001972589,0.0001113634,0.00002598531],"category_scores_gemma":[0.00001860245,0.000146825,0.0001136424,0.00003451291,0.000100633,5.407034e-7,0.0001194802,0.00003907696,0.00001640313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004926642,"about_ca_system_score_gemma":0.00003361389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000372243,"about_ca_topic_score_gemma":0.00004348434,"domain_scores_codex":[0.9990754,0.00002811862,0.0001770342,0.0003811332,0.00003360398,0.0003046964],"domain_scores_gemma":[0.9994929,0.00001493951,0.00007732898,0.0002931306,0.00006347098,0.00005821562],"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":[0.0002014946,0.00004505195,0.001397297,0.00001280781,0.0002111905,0.000001518439,0.0001207304,0.00002840919,0.997269,0.0001121519,0.0005481309,0.00005216277],"study_design_scores_gemma":[0.001065837,0.001027042,0.2934541,0.000003908883,0.0001316356,0.00005254141,0.0001127836,0.00005318057,0.6661745,0.001638345,0.03571564,0.0005704729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962489,0.001341802,0.0004619153,0.00002387635,0.0001892101,0.0002148115,0.0006613649,0.000005478646,0.0008526238],"genre_scores_gemma":[0.9957181,0.0003232187,0.002221719,0.0003234918,0.0002913087,0.0000754096,0.0008034871,0.00001934284,0.0002239358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3310946,"threshold_uncertainty_score":0.5987349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000857721358398,"score_gpt":0.2646561885779093,"score_spread":0.2146476113643253,"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."}}