{"id":"W2546666212","doi":"10.12705/655.9","title":"Retrieval of hundreds of nuclear loci from herbarium specimens","year":2016,"lang":"en","type":"article","venue":"Taxon","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; NERC Biomolecular Analysis Facility; Rural and Environment Science and Analytical Services Division; Sight Research UK; Université Laval; National Science Foundation","keywords":"Herbarium; Treasure; Biodiversity; Biology; DNA sequencing; Nuclear DNA; Evolutionary biology; Genus; Geography; Genetics; DNA; Ecology; Archaeology; Gene; Mitochondrial DNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001518787,0.000236127,0.00016197,0.0009577021,0.0003569928,0.0004789326,0.0003179441,0.0003105045,0.00405402],"category_scores_gemma":[0.0004382135,0.0001647024,0.0001929599,0.0007504373,0.0001904233,0.0002801367,0.0004068492,0.0003385225,0.004226128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231785,"about_ca_system_score_gemma":0.0002709512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103006,"about_ca_topic_score_gemma":0.003561157,"domain_scores_codex":[0.9998941,0.000007554836,0.00001047512,0.00004735568,0.00002858571,0.00001189549],"domain_scores_gemma":[0.9997587,0.00004761026,0.00005692292,0.0000632689,0.00003610895,0.00003734805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008565988,0.00001550425,0.006607627,0.00008948307,0.00001780322,0.0002861121,0.00016749,0.0001767599,0.9703205,0.0002236291,0.0006929371,0.02131641],"study_design_scores_gemma":[0.00003992623,0.0002144074,0.2771709,0.0001261287,0.0001754574,0.003364373,0.00112689,0.00357993,0.5709796,0.00178104,0.1413928,0.0000486123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828056,0.002875087,0.05682289,0.0003935101,0.0001551074,0.0001907091,0.04196734,0.001777155,0.01301251],"genre_scores_gemma":[0.7920712,0.00195863,0.1027396,0.0003411553,0.00008994431,0.0001582907,0.08549289,0.0003680235,0.01678021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00405402,"threshold_uncertainty_score":0.01356202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052770355204797,"score_gpt":0.2086836874605978,"score_spread":0.1981559839085498,"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."}}