{"id":"W4207016523","doi":"10.1093/jee/toab258","title":"Semi-Quantitative Detection of<i>Drosophila suzukii</i>(Diptera: Drosophilidae) From Bulk Trap Samples Using PCR Technology","year":2022,"lang":"en","type":"article","venue":"Journal of Economic Entomology","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ministry of Agriculture, Food and Rural Affairs; Vineland Research and Innovation Centre; Agriculture and Agri-Food Canada","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Drosophila suzukii; Drosophila (subgenus); Drosophilidae; Biology; PEST analysis; Zoology; Botany; Drosophila melanogaster; 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":[0.0003980624,0.0001484825,0.0004856116,0.0001327721,0.000190942,0.00001677452,0.0004009117,0.0001438252,0.000558776],"category_scores_gemma":[0.0000283907,0.00008175144,0.0002287324,0.0001690847,0.0001293668,0.0001373902,0.0001161601,0.0003696705,0.000002811038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001972248,"about_ca_system_score_gemma":0.00003406552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006986797,"about_ca_topic_score_gemma":0.0002084871,"domain_scores_codex":[0.9986261,0.0001488169,0.0006788494,0.0002103596,0.0001067139,0.0002291891],"domain_scores_gemma":[0.9987766,0.0002251885,0.0007975035,0.00007052473,0.00007933426,0.00005090773],"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":[0.0001899329,0.00008562543,0.008064274,0.000001500038,0.00005410055,0.00002679947,0.00009068431,0.0001129329,0.9817522,0.001485266,0.0000124327,0.008124266],"study_design_scores_gemma":[0.002057712,0.009719446,0.1211715,0.0000506409,0.0003654137,0.002294615,0.002503609,0.0009893291,0.715192,0.139691,0.00511921,0.0008455773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980536,0.0005324085,0.00005526611,0.0004789694,0.0005434914,0.0001193575,0.0001220087,0.00002826747,0.00006660094],"genre_scores_gemma":[0.9992685,0.00005755272,0.0003253928,0.00009747568,0.0002165571,0.000010245,0.00001042311,0.000002525273,0.00001138353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2665602,"threshold_uncertainty_score":0.6118205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03832030506240276,"score_gpt":0.2658953964219331,"score_spread":0.2275750913595303,"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."}}