{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005301999,0.00007341251,0.0001363888,0.00001306921,0.00001534774,0.000001567066,0.0001117581,0.00007270878,0.00008150909],"category_scores_gemma":[0.00003172327,0.00005576852,0.00006630807,0.00002850476,0.00009839972,2.906099e-7,0.00009756189,0.00001763317,0.000009268235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005244726,"about_ca_system_score_gemma":0.00001701219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004233527,"about_ca_topic_score_gemma":0.00001048495,"domain_scores_codex":[0.9994978,0.00001679105,0.0001586087,0.000153455,0.00007031803,0.000102998],"domain_scores_gemma":[0.9995568,0.00001111428,0.00009362139,0.0002514909,0.00005951992,0.00002746721],"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":[0.000103995,0.00002512763,0.002188212,0.000004990461,0.00006757896,3.335351e-7,0.00003345479,0.000001389974,0.9948953,0.0001014919,0.001505934,0.001072207],"study_design_scores_gemma":[0.0004784344,0.0002952623,0.0306891,0.00001144986,0.00002050219,6.442724e-7,0.00004635243,0.000001701962,0.8827182,0.0002531459,0.08538985,0.00009532314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960499,0.001023717,0.0001035437,0.0001117026,0.0000927555,0.00005941436,0.0001018457,0.000001432446,0.002455687],"genre_scores_gemma":[0.998518,0.0003935886,0.0006031464,0.00003514536,0.0001365769,6.313281e-7,0.000006728379,0.00001125178,0.0002949644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121771,"threshold_uncertainty_score":0.2274174,"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."}}