{"id":"W4411454940","doi":"10.1111/mec.17824","title":"Range‐Wide Genomic Analysis Reveals Regional and Meta‐Population Dynamics of Decline and Recovery in the Grey Seal","year":2025,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute of Allergy and Infectious Diseases; Fisheries and Oceans Canada; National Oceanic and Atmospheric Administration; University of St Andrews; Academy of Finland; Innovationsfonden; National Institutes of Health; Ministry of Environment; Naturvårdsverket; H2020 Marie Skłodowska-Curie Actions; Natural Resources Wales; Velux Fonden; Home Office; Northeast Fisheries Science Center; Natural Environment Research Council; Stiftelsen för Miljöstrategisk Forskning; American-Scandinavian Foundation","keywords":"Biology; Range (aeronautics); Seal (emblem); Population; Evolutionary biology; Demography; Archaeology","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":[0.0004687666,0.000106022,0.0002424265,0.0008428615,0.0002671174,0.0004212324,0.0001734436,0.0002288503,0.0007606822],"category_scores_gemma":[0.0007585804,0.0001303797,0.0003597874,0.0006236599,0.0003861521,0.0002507786,0.0004743012,0.0002597024,0.0001300132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372795,"about_ca_system_score_gemma":0.0001390656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178733,"about_ca_topic_score_gemma":0.006585662,"domain_scores_codex":[0.9997644,0.00003894911,0.00002178431,0.0001095523,0.00003144305,0.00003385923],"domain_scores_gemma":[0.9995143,0.000119076,0.0001733758,0.00006961117,0.00006664412,0.00005697113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001481131,0.00002336884,0.9515906,0.0000406647,0.0002517351,0.0002450616,0.001693122,0.0004793493,0.03453998,0.0001547,0.0001445723,0.01068883],"study_design_scores_gemma":[0.000002120892,0.00002912126,0.9988937,0.000004601975,0.00002531098,0.00009895758,0.0002536505,0.0002098141,0.0002292348,0.00006269913,0.000187753,0.00000307287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993972,0.0001068263,0.0002099347,0.00001259935,0.000001071551,0.000001274996,0.0001289953,0.00000369433,0.0001383912],"genre_scores_gemma":[0.9993851,0.00004689096,0.00019134,0.00001475166,0.000001777121,0.000002806998,0.0002720218,0.000003087015,0.00008221061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003178733,"threshold_uncertainty_score":0.006320477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008267562325786947,"score_gpt":0.2472731162520345,"score_spread":0.2390055539262476,"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."}}