{"id":"W2293462014","doi":"10.1371/journal.pone.0150327","title":"Turning Up the Heat on a Hotspot: DNA Barcodes Reveal 80% More Species of Geometrid Moths along an Andean Elevational Gradient","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ciência sem Fronteiras; Governo Brasil; Genome Canada; Ontario Genomics; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Deutsche Forschungsgemeinschaft; Ontario Genomics Institute","keywords":"Species richness; Biodiversity; Beta diversity; DNA barcoding; Ecology; Biology; Species diversity; Range (aeronautics); Biodiversity hotspot; Species complex; Global biodiversity; Environmental gradient; Habitat; Phylogenetic tree","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":[0.0002908261,0.0001593811,0.0002232554,0.0009704275,0.0003060248,0.0005384044,0.0001831634,0.0002020161,0.0007903264],"category_scores_gemma":[0.0009526469,0.0001064653,0.0001502848,0.0007053636,0.0003592053,0.0004284504,0.0006419059,0.0002112125,0.000125279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263873,"about_ca_system_score_gemma":0.0001061073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004791827,"about_ca_topic_score_gemma":0.01024494,"domain_scores_codex":[0.9997789,0.0000370512,0.00001712811,0.00008175932,0.00003471909,0.00005044117],"domain_scores_gemma":[0.9995404,0.00007639354,0.0002237751,0.00004399946,0.00006657014,0.00004882593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001359176,0.00002328403,0.9415782,0.00006493162,0.00006047619,0.0001851108,0.003111279,0.0001637395,0.03580513,0.0001070969,0.0001025281,0.01866223],"study_design_scores_gemma":[0.000001381153,0.00001340609,0.9984655,0.000006668542,0.000009841096,0.00005810992,0.0005482978,0.00009842914,0.0005207112,0.00002463666,0.0002500995,0.000002908032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995111,0.00007868681,0.0001081327,0.00001417542,0.000001262984,0.000001590286,0.00006405135,0.00000254507,0.0002184505],"genre_scores_gemma":[0.9994596,0.00004284436,0.0002789407,0.00001457137,0.000002891331,0.00000346665,0.0001033692,0.000001690148,0.00009268619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004791827,"threshold_uncertainty_score":0.009527862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03558839341616478,"score_gpt":0.230894223128906,"score_spread":0.1953058297127412,"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."}}