{"id":"W2319266159","doi":"10.1139/gen-2013-0071","title":"Effects of introgression on the genetic population structure of two ecologically and economically important conifer species: lodgepole pine (<i>Pinus contorta</i>var.<i>latifolia</i>) and jack pine (<i>Pinus banksiana</i>)","year":2013,"lang":"en","type":"article","venue":"Genome","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Alberta Innovates Bio Solutions; Ministry of Forests, Lands and Natural Resource Operations; Genome British Columbia; University of Alberta; Government of Alberta; Alberta Innovates; McGill University; Génome Québec; Genome Canada","keywords":"Pinus contorta; Introgression; Biology; Population; Mountain pine beetle; Gene flow; Genetic structure; Ecology; Hybrid; Genetic variation; Botany; Genetics; Gene; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001025721,0.0004952108,0.0003417976,0.0009434201,0.0003606509,0.0005942907,0.0003328447,0.0003641137,0.001590676],"category_scores_gemma":[0.001201706,0.0001822093,0.0006297679,0.0004654016,0.0004935822,0.0003181512,0.0007139824,0.0009967777,0.0001703257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005543827,"about_ca_system_score_gemma":0.0002544369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002530392,"about_ca_topic_score_gemma":0.008911034,"domain_scores_codex":[0.9992466,0.0001686332,0.00005488939,0.0003150321,0.0001346196,0.00008023973],"domain_scores_gemma":[0.9987709,0.0005461745,0.0002449495,0.0001161927,0.0001035357,0.0002182433],"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":[0.001387231,0.0003684247,0.2914608,0.00028736,0.0009758214,0.0007223441,0.001796164,0.001855999,0.6685733,0.000632505,0.0003188694,0.03162118],"study_design_scores_gemma":[0.00001778688,0.0003272337,0.9875323,0.00001983214,0.0002004728,0.0002895347,0.0001967313,0.001842799,0.008533128,0.0001081873,0.0009093335,0.00002264619],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998437,0.0001232706,0.000673906,0.00001220814,0.000005629674,0.000006923964,0.0001402715,0.00003214253,0.0005687359],"genre_scores_gemma":[0.9979887,0.000097507,0.0008382617,0.00004761425,0.000004311472,0.00001602932,0.0005423064,0.00002754482,0.0004377815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002530392,"threshold_uncertainty_score":0.005424619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003859163717040438,"score_gpt":0.1864456431934714,"score_spread":0.182586479476431,"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."}}