{"id":"W4381053625","doi":"10.1101/2023.06.16.545324","title":"Mitochondrial genomes of Pleistocene megafauna retrieved from recent sediment layers of two Siberian lakes","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Universität Konstanz; Svenska Forskningsrådet Formas; RUDN University; Deutsche Forschungsgemeinschaft; Biodiversa+; Norges Forskningsråd; Agence Nationale de la Recherche; Vetenskapsrådet; National Science Foundation","keywords":"Megafauna; Pleistocene; Ancient DNA; Geology; Paleontology; Mammoth; Paleoecology; Beringia; Sedimentology; Mudflow; Ecology; Oceanography; Biology; Debris","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":[0.0002024444,0.0002087302,0.000147973,0.001263188,0.0005018093,0.0004786676,0.0001168967,0.0002685241,0.00116831],"category_scores_gemma":[0.0003524581,0.0001353951,0.000176946,0.001016899,0.0001592953,0.0001719672,0.000443036,0.0001393036,0.0002366731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451396,"about_ca_system_score_gemma":0.0001942632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009008229,"about_ca_topic_score_gemma":0.01664207,"domain_scores_codex":[0.9999379,0.000006066649,0.000008167103,0.00002226017,0.00001148697,0.00001411445],"domain_scores_gemma":[0.9998074,0.00003007396,0.00004847217,0.0000217274,0.00004569687,0.00004667176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004848974,0.00004998831,0.8255163,0.0000641049,0.0001494321,0.000287089,0.001698336,0.0004552475,0.1548439,0.0001157645,0.0002711584,0.01606386],"study_design_scores_gemma":[0.000002676898,0.00001630978,0.9977488,0.000004174639,0.00001721565,0.00006263892,0.0001846212,0.0003266391,0.001306567,0.00001263429,0.0003159353,0.000001858271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992888,0.00004458661,0.00006989824,0.000007028228,0.000001016956,0.000001031963,0.0004779236,0.000003390067,0.0001063118],"genre_scores_gemma":[0.9961097,0.00003907232,0.000324877,0.00001180263,0.000002591141,0.000004396856,0.00326736,0.000003967738,0.0002362379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009008229,"threshold_uncertainty_score":0.01791161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022390864134146,"score_gpt":0.2141479819052297,"score_spread":0.1939240732638882,"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."}}