{"id":"W2994361099","doi":"10.1111/syen.12411","title":"How old can we go? Evaluating the age limit for effective DNA recovery from historical insect specimens","year":2019,"lang":"en","type":"article","venue":"Systematic Entomology","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Sigma Xia","keywords":"Ancient DNA; Biology; Genotyping; DNA extraction; Evolutionary biology; Mitochondrial DNA; Haplotype; Population; Genetics; Zoology; Genotype; Polymerase chain reaction; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01527517,0.0003158248,0.0005101385,0.001571389,0.0009864446,0.001903727,0.001113995,0.001383419,0.001318081],"category_scores_gemma":[0.04181357,0.0003209496,0.0004088311,0.000730496,0.001564918,0.002376107,0.001439516,0.0007804965,0.0007354603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007885633,"about_ca_system_score_gemma":0.0006356991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003235573,"about_ca_topic_score_gemma":0.005447065,"domain_scores_codex":[0.9953571,0.001753563,0.0005692677,0.0008523126,0.001153886,0.0003137418],"domain_scores_gemma":[0.963956,0.0207771,0.007149534,0.002570673,0.00443573,0.001111033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007456176,0.0001499365,0.8490987,0.0006786491,0.0001877262,0.0003744127,0.00259704,0.00309612,0.04382374,0.002956009,0.001343398,0.09494871],"study_design_scores_gemma":[0.00002891243,0.001641506,0.9138941,0.0007490771,0.0003329054,0.001389108,0.004603728,0.01193146,0.04697638,0.004180524,0.01418012,0.00009225597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513232,0.00933665,0.03054868,0.000794296,0.0001307397,0.0001695849,0.0007980221,0.000112289,0.006786566],"genre_scores_gemma":[0.9799311,0.001104375,0.01746087,0.0002569502,0.00005184692,0.0001594461,0.0005342131,0.00002706751,0.0004741887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01527517,"threshold_uncertainty_score":0.08078378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313759702152369,"score_gpt":0.2591629364900213,"score_spread":0.2277869662747843,"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."}}