{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008538143,0.0002578587,0.0006049754,0.0000499966,0.00009783536,0.00003763457,0.000342056,0.000369095,0.00002278493],"category_scores_gemma":[0.0008702069,0.0001716676,0.0002548572,0.00006439125,0.00007526507,0.000005684059,0.0001186386,0.0001598148,0.00005535212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018051,"about_ca_system_score_gemma":0.00006348726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272043,"about_ca_topic_score_gemma":0.000213528,"domain_scores_codex":[0.9976743,0.0009063796,0.0003878839,0.0005449483,0.0001151183,0.0003713664],"domain_scores_gemma":[0.9979196,0.0009155463,0.0003268989,0.0006881878,0.00009564042,0.00005419023],"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":[0.003779986,0.0009507792,0.04368781,0.03053614,0.01025282,0.0001622096,0.006396964,0.0001730794,0.8647918,0.005692235,0.01168545,0.02189075],"study_design_scores_gemma":[0.04510003,0.08971315,0.01385805,0.01900082,0.008851201,0.002384178,0.008310036,0.003672105,0.3763153,0.05532924,0.365095,0.01237089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823865,0.002371745,0.002078149,0.002353893,0.002550426,0.004311447,0.00006150666,0.00002717079,0.003859177],"genre_scores_gemma":[0.9908229,0.00002257648,0.0005326478,0.0005818566,0.0005275977,0.0009036029,0.0001389991,0.00002497146,0.006444874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4884765,"threshold_uncertainty_score":0.7000403,"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."}}