{"id":"W2161259392","doi":"10.1111/jen.12254","title":"Real‐time <scp>PCR</scp> identification of the ambrosia beetles, <i>Trypodendron domesticum</i> (L.) and <i>Trypodendron lineatum</i> (Olivier) (Coleoptera: Scolytidae)","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Entomology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Agriculture and Agri-Food Canada; Canadian Food Inspection Agency","funders":"Government of Canada; Canadian Food Inspection Agency","keywords":"Ambrosia beetle; Biology; Ambrosia; Ambrosia artemisiifolia; PEST analysis; Identification (biology); Botany; Ecology; Ragweed; Curculionidae","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":[0.001138213,0.0002239889,0.0004323657,0.0001131258,0.0001167057,0.00003197388,0.0005964078,0.0002165456,0.00006787229],"category_scores_gemma":[0.000127586,0.0001706401,0.000105722,0.0003455076,0.000576083,0.0001968953,0.0004241669,0.0003506211,0.0001490228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185543,"about_ca_system_score_gemma":0.00006410083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001107627,"about_ca_topic_score_gemma":0.0001021117,"domain_scores_codex":[0.997881,0.0001307558,0.0008428312,0.0002956554,0.0004716052,0.0003781862],"domain_scores_gemma":[0.9981608,0.0001673768,0.00103067,0.0003824066,0.00005535077,0.0002034386],"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":[0.000509602,0.00136397,0.03077253,0.000160971,0.0003571959,0.0001638685,0.004276379,0.01993508,0.8589174,0.007771011,0.07055891,0.005213136],"study_design_scores_gemma":[0.004637188,0.001214979,0.8996769,0.00008323834,0.0005681419,0.001279505,0.000689631,0.001260239,0.04567384,0.02627556,0.01829395,0.0003468877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810826,0.0001477333,0.0003271602,0.0001005972,0.0005705055,0.0003879891,0.000005961553,0.0000169995,0.01736041],"genre_scores_gemma":[0.9967387,0.0002093242,0.001003553,0.0002871501,0.0001020561,0.00001798378,0.000003809074,0.00002031106,0.001617135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8689043,"threshold_uncertainty_score":0.69585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007159100809325264,"score_gpt":0.2142513054216858,"score_spread":0.2070922046123605,"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."}}