{"id":"W4247771189","doi":"10.3897/aca.4.e63836","title":"An assay validation framework to compare and evaluate targeted environmental DNA assays for routine species monitoring","year":2021,"lang":"en","type":"article","venue":"ARPHA Conference Abstracts","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental DNA; Workflow; Sampling (signal processing); Scale (ratio); Computer science; Data mining; Computational biology; Biology; Risk analysis (engineering); Biodiversity; Ecology; Medicine; Cartography; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2369278,0.004422252,0.002917083,0.01277984,0.002361809,0.01308022,0.008238396,0.004674773,0.00538621],"category_scores_gemma":[0.2460858,0.001653793,0.006613375,0.00536667,0.005329813,0.007347124,0.01060034,0.005001724,0.003909014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007825664,"about_ca_system_score_gemma":0.02597532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325632,"about_ca_topic_score_gemma":0.009999333,"domain_scores_codex":[0.8093718,0.1055413,0.02354926,0.0151965,0.0430933,0.003247689],"domain_scores_gemma":[0.7266516,0.1490593,0.02380951,0.01996494,0.07760622,0.002908455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001148977,0.0008559903,0.03999608,0.01682746,0.002415695,0.00104467,0.003984112,0.1171224,0.01444423,0.3103079,0.04539555,0.446457],"study_design_scores_gemma":[0.0005771865,0.002841896,0.01813159,0.01925345,0.002514566,0.001574187,0.001755477,0.2038991,0.03181657,0.2122402,0.5045599,0.0008358328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005758416,0.00688146,0.9519878,0.003316291,0.0004530252,0.005977251,0.005160337,0.003272085,0.01719337],"genre_scores_gemma":[0.05175985,0.002430656,0.924647,0.001636295,0.0002194015,0.007950388,0.00845165,0.0006666924,0.002238073],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2369278,"threshold_uncertainty_score":0.9410038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04268587339635432,"score_gpt":0.275264902589869,"score_spread":0.2325790291935147,"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."}}