{"id":"W4411462020","doi":"10.3897/bdj.13.e158459","title":"Metabarcoding arthropods in agroecosystems in Southern Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Biodiversity Data Journal","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biodiversity; Invertebrate; Biomonitoring; Arthropod; Agroecosystem; Geography; Ecology; Agriculture; Identification (biology); Environmental resource management; Environmental science; Agroforestry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004979374,0.0001536124,0.000220757,0.0001095003,0.0003464246,0.00004971137,0.001022309,0.00005445456,0.002358254],"category_scores_gemma":[0.00003450414,0.0001565817,0.00003290268,0.0002639884,0.0001451263,0.0004512268,0.002155039,0.0003968354,0.0002912107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003132755,"about_ca_system_score_gemma":0.00007841896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810857,"about_ca_topic_score_gemma":0.9974585,"domain_scores_codex":[0.9985369,0.00009448369,0.0002545368,0.0003742328,0.0003842989,0.0003555024],"domain_scores_gemma":[0.999398,0.00003904907,0.00009518624,0.0003762112,0.000003290502,0.00008827158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001589174,0.00004947916,0.9292787,0.000003773908,0.00002283314,0.0001690919,0.0006712911,0.0000994702,0.00006160934,8.794156e-7,0.06908087,0.00054613],"study_design_scores_gemma":[0.000698732,0.00001046817,0.927929,0.00003237191,0.00002197677,0.00001236607,0.0060043,0.00003659479,0.00002550966,0.00001225732,0.06505213,0.0001643043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959862,0.0001497789,0.00001838631,0.0007436842,0.0004216167,0.0001298998,0.0004434767,0.000006437354,0.00210048],"genre_scores_gemma":[0.9952999,0.0001662328,0.001592051,0.0007891968,0.00002176369,9.20197e-7,0.0001029357,0.000003795074,0.002023148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01637279,"threshold_uncertainty_score":0.9985538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265059477699301,"score_gpt":0.21139737243648,"score_spread":0.188746777659487,"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."}}