{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007266601,0.0001401052,0.0002796956,0.00002950147,0.000115784,0.00002572974,0.0003294605,0.0001685826,0.0002335925],"category_scores_gemma":[0.0005051384,0.00004407824,0.0001624609,0.0004762239,0.0000972959,0.00005663912,0.00006689539,0.0002057789,0.0000176435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003693174,"about_ca_system_score_gemma":0.00001637053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002268239,"about_ca_topic_score_gemma":0.01319059,"domain_scores_codex":[0.9985396,0.0002512552,0.0003206044,0.000303746,0.0001480214,0.0004367374],"domain_scores_gemma":[0.9982578,0.001434348,0.00007920896,0.00009619175,0.00005105303,0.00008135297],"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":[0.0001887314,0.0002630409,0.007301938,0.000004959522,0.00001008273,0.000001457008,0.00009436084,0.00001405545,0.9259942,0.0001793152,0.00001298749,0.06593494],"study_design_scores_gemma":[0.001712428,0.002753292,0.923912,0.00007187435,0.000009028223,0.000005598139,0.002784807,0.003275685,0.06035646,0.001989519,0.002790438,0.0003389032],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969893,0.000427472,0.0000756519,0.0009620623,0.00005682134,0.001145527,0.00007568666,0.00002438837,0.0002431636],"genre_scores_gemma":[0.9992214,0.0001517409,0.00008437033,0.0001112474,0.00007641353,0.0002454299,0.00002756512,0.000001283229,0.00008048485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.91661,"threshold_uncertainty_score":0.7360658,"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."}}