{"id":"W3046041625","doi":"10.1111/eva.13076","title":"Genomic selection for resistance to spruce budworm in white spruce and relationships with growth and wood quality traits","year":2020,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Forest ecology and management","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada; J. D. Irving (Canada); Government of New Brunswick; University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Biology; Tree breeding; Heritability; Genetic gain; Spruce budworm; Selection (genetic algorithm); Abiotic component; Quantitative trait locus; Resistance (ecology); Population; Trait; Genetic variation; PEST analysis; Ecology; Evolutionary biology; Woody plant; Botany; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007867185,0.0003551336,0.0001874121,0.0003764666,0.0001337823,0.0002944912,0.0001852883,0.0001521685,0.0004460039],"category_scores_gemma":[0.0005681206,0.0001027248,0.0002663811,0.0002868046,0.0001829973,0.00007704928,0.0001408236,0.000234496,0.00006405072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002773262,"about_ca_system_score_gemma":0.0001765343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006162184,"about_ca_topic_score_gemma":0.01538839,"domain_scores_codex":[0.9997235,0.00009208424,0.00001908528,0.0000933971,0.0000460076,0.00002595474],"domain_scores_gemma":[0.9993126,0.0002998711,0.0001943042,0.00005634416,0.00006233792,0.00007450292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003265418,0.0001060256,0.8055254,0.00002522457,0.0002778871,0.0001988579,0.0001208794,0.003010675,0.1825187,0.00007772265,0.00004713002,0.007765018],"study_design_scores_gemma":[0.000007437175,0.0001518216,0.9901239,0.00000313059,0.00005129718,0.00009318718,0.00004156673,0.004325369,0.005040852,0.00003070362,0.0001270211,0.000003813306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991537,0.00002219849,0.0006235168,0.000005113,7.068025e-7,0.000002863036,0.00008546947,0.00001324585,0.0000931762],"genre_scores_gemma":[0.9989453,0.00001291464,0.0007316846,0.000006810339,8.145271e-7,0.000001992738,0.0001826985,0.000003860736,0.000113822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006162184,"threshold_uncertainty_score":0.01225263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522873835538532,"score_gpt":0.2270811236894417,"score_spread":0.2118523853340564,"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."}}