{"id":"W4416745087","doi":"10.2139/ssrn.5817230","title":"Improved DNA Extraction from Sediments using Modified Ancient DNA Techniques","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ancient DNA; DNA extraction; DNA; Extraction (chemistry); Polymerase chain reaction; Multiple displacement amplification; Real-time polymerase chain reaction; STR analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00066995,0.0007657154,0.0006722144,0.00124772,0.0003290084,0.0007881089,0.000695418,0.0007321181,0.002534402],"category_scores_gemma":[0.002040073,0.0005437987,0.0005679265,0.001190141,0.0002925768,0.0005514165,0.000782275,0.001634813,0.001935575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001871323,"about_ca_system_score_gemma":0.0004098793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005670927,"about_ca_topic_score_gemma":0.001585364,"domain_scores_codex":[0.9993543,0.000122044,0.00008207678,0.0001847519,0.0002111873,0.00004555249],"domain_scores_gemma":[0.9992955,0.0002788324,0.00006377546,0.0001424679,0.0001807424,0.0000387445],"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":[0.0001808211,0.00004822329,0.001307957,0.0003282682,0.00006333992,0.0001318461,0.0001153537,0.0005978593,0.9388518,0.0005757345,0.0004298894,0.05736889],"study_design_scores_gemma":[0.00005723029,0.0002998247,0.01446058,0.00006485487,0.0002422856,0.001181515,0.00007318539,0.0061712,0.9313167,0.001946755,0.04411706,0.00006885039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3038205,0.005694963,0.6793811,0.0005014161,0.0005920844,0.0003042026,0.002885299,0.001432185,0.005388315],"genre_scores_gemma":[0.2836518,0.003717317,0.6875844,0.0003780744,0.0001793641,0.0002384517,0.008013626,0.0003926604,0.01584437],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002534402,"threshold_uncertainty_score":0.008478403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165561140480368,"score_gpt":0.2548667063638057,"score_spread":0.2383105923157689,"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."}}