{"id":"W4386224620","doi":"10.1002/edn3.467","title":"Detection of fish sedimentary DNA in aquatic systems: A review of methodological challenges and future opportunities","year":2023,"lang":"en","type":"review","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; McGill University; University of Guelph; University of Victoria","funders":"Office of Experimental Program to Stimulate Competitive Research; Liber Ero Foundation; Genome British Columbia; Genome Canada","keywords":"Environmental DNA; Metagenomics; Aquatic ecosystem; Biology; Abiotic component; Ecology; Population dynamics of fisheries; Population; Fish ; Biodiversity; Fishery","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001274231,0.0006721813,0.002375472,0.0001743682,0.00009108564,0.000007556322,0.000462963,0.0004019263,0.0001810569],"category_scores_gemma":[0.00008850871,0.0005892222,0.0003831865,0.0002056543,0.0009931354,0.0001925737,0.001222647,0.000413791,0.0001636038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006201004,"about_ca_system_score_gemma":0.000006166619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001179097,"about_ca_topic_score_gemma":0.00002254666,"domain_scores_codex":[0.9956874,0.001031722,0.001229401,0.0008340595,0.0007841685,0.0004332038],"domain_scores_gemma":[0.9975365,0.0008711705,0.0009332218,0.0005117644,0.000001109862,0.0001461698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000608502,0.000405127,0.0007019756,0.1040727,0.0004449518,0.00008134876,0.0008866494,0.000002529702,0.0001961858,0.00001117515,0.001780049,0.8914112],"study_design_scores_gemma":[0.0003081903,0.0003570743,0.007667569,0.02649391,0.0009700711,0.00006139493,0.00541008,0.000003420665,0.0001106728,0.00002735103,0.9582239,0.0003663697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003477025,0.9932162,0.000001156925,0.0000740412,0.0002663571,0.001590088,0.0003916379,0.000034841,0.0009487058],"genre_scores_gemma":[0.00008514021,0.9987149,0.0002336064,0.0001222236,0.00007347812,0.0001777232,0.0001500508,0.0000557863,0.0003871449],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9564438,"threshold_uncertainty_score":0.9996559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1686617923765805,"score_gpt":0.2973472483486995,"score_spread":0.1286854559721191,"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."}}