{"id":"W2773534178","doi":"10.1016/j.gecco.2017.11.005","title":"Identifying spatially concordant evolutionary significant units across multiple species through DNA barcodes: Application to the conservation genetics of the freshwater fishes of Java and Bali","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Conservation","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Alberta Biodiversity Monitoring Institute","funders":"Muséum National d'Histoire Naturelle; Département Soutien et Formation, Institut de Recherche pour le Développement; Science Foundation Ireland; Government of Canada; Lembaga Ilmu Pengetahuan Indonesia; Genome Canada; Ontario Genomics; University of Guelph; Ontario Genomics Institute","keywords":"Biology; DNA barcoding; Coalescent theory; Allopatric speciation; Genetic diversity; Population; Evolutionary biology; Conservation genetics; Ecology; Species complex; Genetic structure; Conservation status; Effective population size; Genetic variation; Phylogenetic tree; Microsatellite; Genetics; Habitat; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0002981552,0.0001062153,0.0001287938,0.0000107103,0.0005917144,0.00006116543,0.0003015139,0.0001238296,0.000005776803],"category_scores_gemma":[0.0004420883,0.00008080439,0.0000320085,0.00009003589,0.0006222067,0.00002530743,0.000202143,0.0000484648,0.000002445448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001471603,"about_ca_system_score_gemma":0.00009676443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005181883,"about_ca_topic_score_gemma":0.007239152,"domain_scores_codex":[0.9990241,0.0001113517,0.0003580941,0.0002594633,0.0001172289,0.0001297976],"domain_scores_gemma":[0.9985064,0.00004716806,0.0004334613,0.0005177546,0.0004672987,0.00002796649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001147085,0.00004706353,0.6689194,0.00005078149,0.0000591908,1.396447e-7,0.0004457732,0.00008610735,0.3183839,0.006652141,0.004454012,0.0007867488],"study_design_scores_gemma":[0.0003614782,0.00005763128,0.8908216,0.00001478146,0.00002684669,0.000005254982,0.0005381085,0.001108061,0.08440338,0.0005197151,0.02205431,0.00008878983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985765,0.0001342938,0.005196462,0.007794518,0.000240836,0.0004831174,0.0002932675,0.000005493329,0.00008700862],"genre_scores_gemma":[0.9981077,0.0001475339,0.0006086587,0.0007332205,0.0000523653,0.00005208839,0.0001442064,0.000005485424,0.0001487457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2339806,"threshold_uncertainty_score":0.4551048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03577509299433686,"score_gpt":0.2878208543374781,"score_spread":0.2520457613431412,"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."}}