{"id":"W3210634336","doi":"10.1016/j.envpol.2021.118446","title":"RNA metabarcoding helps reveal zooplankton community response to environmental stressors","year":2021,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Manitoba; University of Manitoba; International Institute for Sustainable Development; University of Saskatchewan","funders":"Fisheries and Oceans Canada; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Baylor University","keywords":"Biology; Environmental DNA; RNA; Ecology; Mesocosm; DNA; Biodiversity; Ecosystem; Gene; Genetics","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":[0.000617851,0.0006675654,0.0004176055,0.002340852,0.0006585502,0.000802789,0.0004321468,0.0006371633,0.002172308],"category_scores_gemma":[0.001470773,0.0003020977,0.0005161156,0.001351035,0.0002646163,0.0004822766,0.0005054917,0.0005567882,0.0008698007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106554,"about_ca_system_score_gemma":0.0003101288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001827688,"about_ca_topic_score_gemma":0.006772436,"domain_scores_codex":[0.9995295,0.00009287646,0.00003489763,0.0001983737,0.00009812236,0.00004632303],"domain_scores_gemma":[0.9992201,0.0002446043,0.0002285565,0.00007681345,0.0001788717,0.00005099059],"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":[0.0002898948,0.00006665756,0.1004509,0.0006298412,0.0004417924,0.0003056599,0.0004391485,0.0006535373,0.8389407,0.00079099,0.001458658,0.05553227],"study_design_scores_gemma":[0.0000403838,0.0004803147,0.6319516,0.0002517872,0.001038165,0.001218815,0.001098176,0.01294024,0.2970053,0.00394462,0.04992401,0.0001066168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8615716,0.005672492,0.09670234,0.0009854179,0.0003469154,0.0002088861,0.02098775,0.001662354,0.01186224],"genre_scores_gemma":[0.8442953,0.002259403,0.130756,0.001087703,0.0002360201,0.0002542948,0.01375525,0.0003953539,0.006960744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002340852,"threshold_uncertainty_score":0.007267118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621899593036858,"score_gpt":0.21655881266493,"score_spread":0.2003398167345615,"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."}}