{"id":"W4407184115","doi":"10.1002/edn3.70059","title":"<scp>eDNA</scp> Sampling Systems for Salmon Ecosystem Monitoring","year":2025,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuu Chah Nulth Tribal Council; University of British Columbia; Fisheries and Oceans Canada","funders":"Pacific Salmon Foundation","keywords":"Ecosystem; Sampling (signal processing); Environmental science; Fishery; Environmental DNA; Ecology; Environmental resource management; Computer science; Biology; Biodiversity; Telecommunications","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003086204,0.0004282467,0.0003856675,0.00008269624,0.0007290938,0.00008332613,0.0005396734,0.0001790497,0.0001057857],"category_scores_gemma":[0.00005003001,0.0004553676,0.0002002632,0.0001606755,0.0002684112,0.0003158833,0.0008505634,0.0001910994,0.00118325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462803,"about_ca_system_score_gemma":0.000002857456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004686368,"about_ca_topic_score_gemma":0.000005834893,"domain_scores_codex":[0.997445,0.00006949703,0.0004443045,0.0008404255,0.0004905721,0.000710152],"domain_scores_gemma":[0.9988405,0.0003318205,0.0001680743,0.0004983717,0.000001473042,0.0001597364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001188808,0.0002161429,0.9447194,0.00009045934,0.000152303,0.000004991405,0.0004332351,0.003192906,0.0411592,0.00006898252,0.008650483,0.001300063],"study_design_scores_gemma":[0.001082381,0.0002303601,0.7201717,0.0001284896,0.000133577,0.000008154761,0.004683221,0.0004412645,0.02484415,0.0001382496,0.2478182,0.0003202431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872125,0.001338558,0.001209026,0.00004720812,0.001371568,0.001202037,0.000322539,0.0001344187,0.007162184],"genre_scores_gemma":[0.9901998,0.0004183156,0.002845159,0.00008579931,0.0001321992,0.0002201708,0.00004780302,0.0000411016,0.006009623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2391677,"threshold_uncertainty_score":0.9997898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707065380156519,"score_gpt":0.226712074713935,"score_spread":0.2096414209123698,"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."}}