{"id":"W4246925909","doi":"10.24124/2011/bpgub762","title":"Microsatellite Variation in Mountain Pine Beetle ( Dendroctonus ponderosae Hopkins) in Western Canada: Spatial Genetic Analyses of Neutral Variation and Development of Genic Markers.","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage; University of Northern British Columbia; Library and Archives Canada","funders":"Canadian Forest Service; Rocky Mountain Research Station; U.S. Forest Service; U.S. Department of Agriculture; Genome Alberta; Genome British Columbia; Genome Canada","keywords":"Microsatellite; Mountain pine beetle; Biological dispersal; Dendroctonus; Biology; Genetic variation; Isolation by distance; Evolutionary biology; Genetic structure; Population; Genetic diversity; Ecology; Bark beetle; Genetics; Gene; Demography; Allele","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001895366,0.0001546774,0.0001273518,0.0007522136,0.0007487372,0.000389529,0.0002514734,0.0001344541,0.0004870769],"category_scores_gemma":[0.000355321,0.0001087178,0.000112078,0.001283782,0.0003051234,0.00007654112,0.0002193559,0.00018566,0.00008670115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003459473,"about_ca_system_score_gemma":0.003408986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9382339,"about_ca_topic_score_gemma":0.9775149,"domain_scores_codex":[0.9998535,0.00001117193,0.000006787871,0.00004220781,0.00004903547,0.00003728231],"domain_scores_gemma":[0.9996409,0.00002571622,0.0000525421,0.000009554493,0.0001888227,0.00008231922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000191556,0.00007276209,0.9202396,0.00008647471,0.0001043722,0.0003365419,0.003012131,0.0006991852,0.0446182,0.0002662171,0.0005733417,0.02979957],"study_design_scores_gemma":[0.000004149324,0.00001830578,0.9977984,0.000008197459,0.00001233341,0.0000609722,0.0006656036,0.00027211,0.0003401896,0.00001278588,0.0008022413,0.000004553723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986243,0.0002504536,0.0002125961,0.00002328318,0.000001502006,0.0000089246,0.0004533462,0.000005352358,0.0004201735],"genre_scores_gemma":[0.9975304,0.0001956281,0.0007592208,0.00002603951,8.522398e-7,0.000008112798,0.0007200522,0.000003014973,0.0007566491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06176609,"threshold_uncertainty_score":0.1242597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245032267790031,"score_gpt":0.2323345872458391,"score_spread":0.2198842645679388,"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."}}