{"id":"W4386695913","doi":"10.1098/rspb.2023.0841","title":"Freshwater connectivity transforms spatially integrated signals of biodiversity","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; International Institute for Sustainable Development; University of Guelph; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Ministère des Forêts, de la Faune et des Parcs","keywords":"Environmental DNA; Biodiversity; Threatened species; Habitat; Environmental science; Aquatic ecosystem; Ecosystem; Ecology; Zooplankton; Spatial ecology; Geography; Biology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00080888,0.0001440667,0.0002224283,0.0000134066,0.0005101043,0.00001633751,0.0008399744,0.0001108072,0.0006739461],"category_scores_gemma":[0.00009667124,0.00007423874,0.0002679561,0.0007297868,0.003912439,0.0001319188,0.0008973378,0.0001194224,0.00009054509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000765719,"about_ca_system_score_gemma":0.000003127272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007033426,"about_ca_topic_score_gemma":0.00001120607,"domain_scores_codex":[0.9986567,0.00001507256,0.0001932441,0.0003528423,0.0004680305,0.0003140478],"domain_scores_gemma":[0.999625,0.00008778457,0.0001650256,0.00005282839,0.00001770066,0.00005167575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001186656,0.00005602422,0.9369491,0.000009410353,0.0000187474,7.923374e-8,0.0006382519,0.0001246934,0.05660577,0.00003115067,0.005278742,0.0002761434],"study_design_scores_gemma":[0.0001698444,0.0002953253,0.8917133,0.00001533509,0.00001755066,2.692914e-7,0.002091597,0.0007791069,0.1033287,0.0009966834,0.0004358705,0.000156382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969233,0.00001074782,0.000008573395,0.000540628,0.00006001262,0.0002221946,0.0000893256,0.00005077369,0.002094476],"genre_scores_gemma":[0.9983445,0.00006236738,0.001338666,0.0001167451,0.000006847517,0.000003723638,0.000001829885,0.000001492034,0.0001238757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04672297,"threshold_uncertainty_score":0.9987984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781251955010077,"score_gpt":0.2164352732556863,"score_spread":0.1886227537055855,"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."}}