{"id":"W3168150887","doi":"10.1002/edn3.221","title":"Fish community shifts along a strong fluvial environmental gradient revealed by eDNA metabarcoding","year":2021,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université Laval","funders":"","keywords":"Environmental DNA; Estuary; Fluvial; Biodiversity; Ecology; Brackish water; Habitat; Fish migration; Geography; Coastal fish; River ecosystem; Community structure; Marine habitats; Fishery; Biology; Coral reef fish; Salinity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002727729,0.000131228,0.000143623,0.00110854,0.0004056825,0.0002807057,0.0001828583,0.0001706914,0.0006424647],"category_scores_gemma":[0.000358791,0.00009732009,0.00009174692,0.0007897493,0.0002841419,0.0001527854,0.0003490735,0.0001197158,0.0001052813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003939605,"about_ca_system_score_gemma":0.0002549201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02976231,"about_ca_topic_score_gemma":0.1249315,"domain_scores_codex":[0.9998493,0.00002616561,0.00001023448,0.00005590952,0.00002740321,0.00003093409],"domain_scores_gemma":[0.9996668,0.0000553573,0.0001142661,0.00001792743,0.0001049369,0.00004069521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001235034,0.00001726156,0.8352278,0.00004232332,0.00004953697,0.0001667707,0.0007961324,0.0002035992,0.1541932,0.00006769333,0.00009833965,0.009013773],"study_design_scores_gemma":[6.392309e-7,0.00002070625,0.9980274,0.000003182301,0.000006907487,0.00005445875,0.0002521098,0.0001621208,0.001227533,0.00001132687,0.0002306176,0.000003048699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984327,0.00005549514,0.0007470202,0.000009996955,0.000001126422,0.000006947462,0.0002852699,0.000006862521,0.0004547157],"genre_scores_gemma":[0.9978874,0.00003632879,0.001314297,0.00002606011,9.646973e-7,0.00001217278,0.0002779254,0.000002450203,0.0004424026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02976231,"threshold_uncertainty_score":0.05917811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424732117600984,"score_gpt":0.1994524907396633,"score_spread":0.1852051695636534,"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."}}