{"id":"W4385350290","doi":"10.1007/s10531-023-02686-9","title":"DNA barcode-based survey documents underestimated diversity and intricate phylogeographic patterns of aquatic Heteroptera in an endangered Balkan biodiversity hotspot: ancient Lake Skadar basin","year":2023,"lang":"en","type":"article","venue":"Biodiversity and Conservation","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Narodowa Agencja Wymiany Akademickiej; Wydział Biologii i Ochrony Środowiska, Uniwersytet Łódzki; Narodowe Centrum Nauki; Uniwersytet Szczeciński","keywords":"Biodiversity; Biodiversity hotspot; DNA barcoding; Endangered species; Ecology; Heteroptera; Endemism; Freshwater ecosystem; Geography; Biology; Phylogeography; Habitat; Ecosystem; Phylogenetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001966323,0.0001677244,0.0002289548,0.001462806,0.0003902825,0.0003414677,0.0001753997,0.0002644195,0.001124438],"category_scores_gemma":[0.0002781638,0.0001211223,0.0001350047,0.0008219915,0.0005541351,0.0002200944,0.0004590579,0.0001554499,0.0001978221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311558,"about_ca_system_score_gemma":0.0003439442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006146851,"about_ca_topic_score_gemma":0.01673444,"domain_scores_codex":[0.9997793,0.00002809832,0.00002175861,0.00006692691,0.0000626637,0.00004125061],"domain_scores_gemma":[0.9997653,0.000032047,0.000102682,0.00001870958,0.00004800756,0.00003317104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008793111,0.00002994309,0.9355365,0.00009881854,0.00004913202,0.0003349617,0.001702444,0.000160646,0.04671187,0.0000856867,0.0001906658,0.01501137],"study_design_scores_gemma":[0.000001920595,0.00004033699,0.996968,0.0000157671,0.00001237298,0.0003264576,0.0007383968,0.0001997587,0.0007941774,0.000028093,0.0008707118,0.000003987726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992091,0.0001357381,0.0001460458,0.00001514717,0.000002370082,0.000002901995,0.0001419426,0.000007572901,0.0003391446],"genre_scores_gemma":[0.9991491,0.00006349136,0.0002874939,0.00001402345,0.000002000356,0.000003190444,0.0002581403,0.000002451453,0.0002200866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006146851,"threshold_uncertainty_score":0.01222211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818785799354837,"score_gpt":0.2216999389047761,"score_spread":0.1835120809112277,"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."}}