{"id":"W2034297000","doi":"10.1371/journal.pone.0012575","title":"The Role of DNA Barcodes in Understanding and Conservation of Mammal Diversity in Southeast Asia","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":263,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Guelph; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust; Wildlife Conservation Society; University of Missouri; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Biology; Biodiversity; DNA barcoding; Mitochondrial DNA; Species richness; Ecology; Conservation genetics; Evolutionary biology; Mammal; Genetic diversity; Population; Endemism; Habitat; Biodiversity hotspot; Species diversity; Conservation status; Zoology; Genetics; Gene; Microsatellite","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":[0.003031809,0.0002295999,0.0001795807,0.001228254,0.0003134306,0.0008581321,0.0005113437,0.000463828,0.0009795602],"category_scores_gemma":[0.007890756,0.0001048893,0.0000956577,0.001190747,0.001509407,0.002134049,0.0005563662,0.0006682379,0.00014457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025505,"about_ca_system_score_gemma":0.001223039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009918941,"about_ca_topic_score_gemma":0.01086998,"domain_scores_codex":[0.9993495,0.0003127671,0.00005928526,0.00009600453,0.0001330666,0.00004932553],"domain_scores_gemma":[0.9930086,0.003155616,0.002182288,0.0002966182,0.001003858,0.0003531062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001330225,0.0000849065,0.5611069,0.00101276,0.000060093,0.000308484,0.004457688,0.002831035,0.01832752,0.005498357,0.001048873,0.4051304],"study_design_scores_gemma":[0.00001308285,0.0004463116,0.9228428,0.001789642,0.0001128123,0.001326082,0.008632599,0.00964578,0.01239402,0.01363064,0.02910301,0.00006318738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248323,0.02922034,0.02877121,0.006175142,0.0001261782,0.00009353822,0.0007603613,0.0001114349,0.009909626],"genre_scores_gemma":[0.9769458,0.004484897,0.01770405,0.0003376063,0.00004649202,0.00002429844,0.0001453596,0.000006760966,0.0003049529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009918941,"threshold_uncertainty_score":0.0197224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06657905600751177,"score_gpt":0.1968563509171057,"score_spread":0.1302772949095939,"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."}}