{"id":"W3175518271","doi":"10.1002/edn3.224","title":"Proper environmental DNA metabarcoding data transformation reveals temporal stability of fish communities in a dendritic river system","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":"Institut National de la Recherche Scientifique; Université Laval","funders":"Canada Research Chairs","keywords":"Environmental DNA; Biodiversity; Abundance (ecology); Ecology; Tributary; Habitat; Relative species abundance; Sampling (signal processing); Biology; Geography; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004310331,0.00011384,0.0001535713,0.0009030651,0.0005720799,0.0004817955,0.0002996321,0.0001315539,0.001107155],"category_scores_gemma":[0.001971193,0.00009568909,0.0001149551,0.001339726,0.0003442332,0.0002204153,0.0003855175,0.0002046583,0.0002500549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000852988,"about_ca_system_score_gemma":0.000798677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1311397,"about_ca_topic_score_gemma":0.3561724,"domain_scores_codex":[0.9996823,0.00005386897,0.00002205564,0.0001304504,0.00005849334,0.00005288926],"domain_scores_gemma":[0.9989051,0.0001944209,0.0002963439,0.00008748972,0.0004439893,0.00007260814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000110984,0.00002095244,0.9134388,0.00004963912,0.00005438429,0.0001024247,0.0007756235,0.0006842021,0.06585854,0.00017289,0.0002947949,0.01843677],"study_design_scores_gemma":[0.000001495732,0.00001871063,0.9940674,0.000007140559,0.00001342235,0.00005072102,0.0004862612,0.001555044,0.002909934,0.00006005828,0.0008234347,0.000006340561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931062,0.00005956684,0.004761112,0.00003097117,0.000002078936,0.00001943477,0.001065418,0.00003181698,0.0009233027],"genre_scores_gemma":[0.9921706,0.00004532336,0.005875386,0.00002607588,0.000001246014,0.00002420438,0.00116934,0.00001631913,0.0006714238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1311397,"threshold_uncertainty_score":0.2607529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968858173605139,"score_gpt":0.2175332388751342,"score_spread":0.1778446571390828,"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."}}