{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004821856,0.001017416,0.0005547944,0.003040184,0.001004113,0.0009682541,0.0007875777,0.0002109186,0.009507179],"category_scores_gemma":[0.0004061006,0.0003002566,0.0005514065,0.003777344,0.0001188149,0.0004130402,0.0006835086,0.000499371,0.008816795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004293079,"about_ca_system_score_gemma":0.001825975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007830886,"about_ca_topic_score_gemma":0.02020543,"domain_scores_codex":[0.9997174,0.00001726512,0.00002849145,0.0001040192,0.00009235518,0.00004049212],"domain_scores_gemma":[0.9995582,0.00002891449,0.0000525133,0.00008108435,0.0002013396,0.00007785441],"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":[0.0006750744,0.0002156947,0.0341368,0.001867093,0.0001709473,0.001487977,0.0005912265,0.001797736,0.5719601,0.003224629,0.1002877,0.283585],"study_design_scores_gemma":[0.0001123861,0.0002526087,0.1660668,0.0004303125,0.0002886605,0.002816272,0.0002955022,0.005143707,0.07053666,0.001513945,0.7524567,0.00008645414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1557743,0.006263019,0.06462025,0.0002246994,0.0002106307,0.0009260401,0.7037278,0.01547731,0.05277597],"genre_scores_gemma":[0.055634,0.0023783,0.08148682,0.0001553946,0.00006159187,0.0004854862,0.8438016,0.001085085,0.01491173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009507179,"threshold_uncertainty_score":0.03180468,"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."}}