{"id":"W3207306496","doi":"10.1038/s41598-021-99708-9","title":"Ancient DNA SNP-panel data suggests stability in bluefin tuna genetic diversity despite centuries of fluctuating catches in the eastern Atlantic and Mediterranean","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of New Brunswick","funders":"Horizon 2020; Fisheries and Oceans Canada; Comisión Internacional para la Conservación del Atún Atlántico; Horizon 2020 Framework Programme; Università di Bologna; Universiteit Gent","keywords":"Tuna; Overfishing; Genetic diversity; Population; Thunnus; Mediterranean climate; Biology; Ancient DNA; Geography; Fishery; Evolutionary biology; Ecology; Zoology; Demography","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":[0.0005504487,0.00009764545,0.0001450902,0.0007639083,0.0002802003,0.0004024421,0.0002022868,0.0001474087,0.001063387],"category_scores_gemma":[0.0008306397,0.00008352415,0.000110038,0.0008104082,0.0004284465,0.0001746797,0.0002510412,0.0001499599,0.0001462638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002651241,"about_ca_system_score_gemma":0.0001197912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005556463,"about_ca_topic_score_gemma":0.01449474,"domain_scores_codex":[0.9997774,0.00004011448,0.00001735756,0.00009813612,0.00004074417,0.00002620218],"domain_scores_gemma":[0.9995334,0.000068314,0.0002041937,0.00005482404,0.00008227834,0.00005686377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001199181,0.00001435197,0.9645063,0.00002429092,0.0001110731,0.00009785491,0.001234721,0.0001767589,0.02219158,0.0001667972,0.00006751689,0.01128892],"study_design_scores_gemma":[0.000001417658,0.00001541092,0.9991544,0.000002650525,0.000009262772,0.00005978314,0.0001220956,0.0001016123,0.000272698,0.00003462115,0.0002244318,0.000001627475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994374,0.00007041723,0.0001286687,0.000009168512,9.596262e-7,8.046411e-7,0.00009118092,0.000002062183,0.0002593908],"genre_scores_gemma":[0.9995603,0.00004064782,0.0001197126,0.000007470038,0.000002725253,0.000001245836,0.0001228398,0.000001351464,0.0001436036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005556463,"threshold_uncertainty_score":0.01104826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0634513433566085,"score_gpt":0.2635366094854124,"score_spread":0.2000852661288039,"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."}}