{"id":"W3129648302","doi":"10.1002/ece3.7139","title":"Optimization and validation of a cost‐effective protocol for biosurveillance of invasive alien species","year":2021,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Canadian Food Inspection Agency; University of Guelph","funders":"Canadian Food Inspection Agency","keywords":"Biology; Biodiversity; Invasive species; Ecology; Internal transcribed spacer; Environmental DNA; Introduced species; Quarantine; Ribosomal RNA; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001023493,0.00004642434,0.00009516583,0.00001388733,0.00008266322,0.000001833654,0.00002118978,0.00004684646,0.00008756365],"category_scores_gemma":[0.00009871114,0.00004670698,0.00001354508,0.00005313575,0.0003099274,0.00008056295,0.00009839067,0.00001810557,0.00000194401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007191304,"about_ca_system_score_gemma":0.000002877534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001652198,"about_ca_topic_score_gemma":0.00006529014,"domain_scores_codex":[0.9996158,0.00005081797,0.00009013172,0.000133829,0.00004555155,0.00006387064],"domain_scores_gemma":[0.9997274,0.000112597,0.00009094838,0.00004410125,0.00001201874,0.00001296013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004509347,0.00004772356,0.9776223,0.00004233335,0.00001268989,2.174321e-7,0.0002108475,0.003377947,0.01831761,0.00005297826,0.0001910702,0.00007917311],"study_design_scores_gemma":[0.0005517917,0.0001770673,0.9453806,0.000007609337,0.000009744754,0.000001897731,0.0001991022,0.0003106084,0.05294559,0.0002009142,0.0001721058,0.00004296796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749902,0.00001034182,0.002328984,0.0001010562,0.00002885827,0.02219588,0.00003355256,0.0000048376,0.0003062251],"genre_scores_gemma":[0.9824138,0.00002176928,0.007084449,0.00001607997,0.00000635919,0.01035833,0.00001434207,0.000002136962,0.00008267845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03462798,"threshold_uncertainty_score":0.1904655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357955420882092,"score_gpt":0.2329566960471639,"score_spread":0.219377141838343,"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."}}