{"id":"W4402992801","doi":"10.1002/edn3.70019","title":"Environmental DNA Metabarcoding Detects Predators at Higher Rates Than Electrofishing","year":2024,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Guelph","funders":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada","keywords":"Electrofishing; Environmental DNA; Predation; Environmental science; Fishery; Biology; Ecology; Fish <Actinopterygii>; Biodiversity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009524403,0.00042511,0.0005001077,0.001480208,0.0003641652,0.0007617337,0.0004706685,0.0004631121,0.001772636],"category_scores_gemma":[0.002230859,0.0002785903,0.0002887182,0.0008353676,0.0004491705,0.0007307359,0.0009250803,0.0005066692,0.0004685806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004123043,"about_ca_system_score_gemma":0.0002743639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172667,"about_ca_topic_score_gemma":0.002976896,"domain_scores_codex":[0.9981567,0.0002341568,0.0001587532,0.0007197077,0.0006330016,0.0000976552],"domain_scores_gemma":[0.9950733,0.001345455,0.001777592,0.0003089295,0.001270723,0.0002241226],"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":[0.000410168,0.000087414,0.2539108,0.0004150193,0.000117174,0.0001383301,0.0004120898,0.0002241468,0.7148697,0.000083795,0.00009095506,0.02924041],"study_design_scores_gemma":[0.000004935855,0.0007314517,0.8885657,0.00006299479,0.0001299104,0.0004369432,0.0005583057,0.0008523019,0.1066629,0.0001241226,0.001844126,0.00002623795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895183,0.0009586624,0.006878863,0.00003835192,0.0000294069,0.00004721296,0.0003530371,0.0000838352,0.002092365],"genre_scores_gemma":[0.9817255,0.0004189486,0.01393136,0.0001517381,0.00001360676,0.00009268711,0.0004370097,0.00004004041,0.003189053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001772636,"threshold_uncertainty_score":0.005930066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009214588594286,"score_gpt":0.2005405347428598,"score_spread":0.1904483888569169,"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."}}