{"id":"W2921904823","doi":"10.1007/s10530-019-01943-9","title":"A needle in a haystack: a multigene TaqMan assay for the detection of Asian gypsy moths in bulk pheromone trap samples","year":2019,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada; University of British Columbia; Canadian Food Inspection Agency; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service; Natural Resources Canada; Genome British Columbia; Canadian Food Inspection Agency; Genome Canada; U.S. Department of Agriculture","keywords":"Lymantria dispar; Gypsy moth; Biology; Pheromone; Subspecies; TaqMan; Pheromone trap; Botany; Dispar; Zoology; PEST analysis; Polymerase chain reaction; Larva; Gene; Genetics","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":[0.003422691,0.00193883,0.001351661,0.002307212,0.0005920666,0.001072631,0.002090448,0.003556618,0.002293371],"category_scores_gemma":[0.003954181,0.001921286,0.001685872,0.001199451,0.0009033525,0.0008058509,0.001139404,0.002205465,0.00315094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006862732,"about_ca_system_score_gemma":0.001190001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007142139,"about_ca_topic_score_gemma":0.002456659,"domain_scores_codex":[0.9925076,0.001840539,0.0003910245,0.002136837,0.002564738,0.0005591633],"domain_scores_gemma":[0.9980519,0.0007165948,0.0003433934,0.0002310858,0.0004566192,0.0002004154],"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":[0.0002473572,0.0004298474,0.005094779,0.0002492872,0.0001170604,0.0001347288,0.0002738357,0.0007011411,0.9780989,0.0004958562,0.0009511681,0.01320617],"study_design_scores_gemma":[0.0003689899,0.005876062,0.03114807,0.0002356536,0.0004177584,0.002152552,0.0002578899,0.04012079,0.8879488,0.001458296,0.02967725,0.0003377846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2325474,0.002719474,0.7449943,0.000541964,0.0006735278,0.003967819,0.004132519,0.004669501,0.005753474],"genre_scores_gemma":[0.2307338,0.001200885,0.7408491,0.001796276,0.000208496,0.006814465,0.007104625,0.0002887175,0.01100365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003556618,"threshold_uncertainty_score":0.01810116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1430697158739168,"score_gpt":0.2629080669043007,"score_spread":0.1198383510303839,"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."}}