{"id":"W3184537300","doi":"10.1038/s42003-021-02415-4","title":"Complex population structure of the Atlantic puffin revealed by whole genome analyses","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Environment and Climate Change Canada","funders":"Uppsala Multidisciplinary Center for Advanced Computational Science; Science for Life Laboratory; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; Norwegian Sequencing Centre; Norges Forskningsråd; Universitetet i Oslo","keywords":"Biological dispersal; Seabird; Biology; Population; Gene flow; Ecology; Evolutionary biology; Isolation by distance; Geography; Gene; Genetic variation; Genetics","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":[0.0001445494,0.0001163092,0.0001330268,0.0008607219,0.0002714272,0.0002511188,0.0001075799,0.0001463048,0.0006640307],"category_scores_gemma":[0.0003019287,0.00007456903,0.0002204829,0.0006223536,0.0001942417,0.0001304235,0.0001920632,0.0001969556,0.00007867296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000166638,"about_ca_system_score_gemma":0.0001407341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005192619,"about_ca_topic_score_gemma":0.01239843,"domain_scores_codex":[0.9999149,0.00001046002,0.000004776421,0.00004295734,0.00001086173,0.00001605755],"domain_scores_gemma":[0.9998806,0.00003828993,0.00003504796,0.00001607092,0.00001431385,0.00001566854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002661329,0.00004127722,0.3573982,0.0001080944,0.0002689627,0.0004206969,0.001267176,0.0015615,0.6073768,0.000677823,0.0002220014,0.03039126],"study_design_scores_gemma":[0.000002456849,0.00003406353,0.9944372,0.000005081847,0.00003337306,0.0001999636,0.0001842193,0.001128896,0.002997572,0.0001846724,0.0007861339,0.000006413974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980612,0.0001154946,0.001149834,0.00001550276,0.000001251719,0.000002437293,0.0004210077,0.000009447617,0.0002236816],"genre_scores_gemma":[0.9971903,0.0001005684,0.00144131,0.00001512757,0.000002007215,0.000005027965,0.001095072,0.000004773511,0.0001457504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005192619,"threshold_uncertainty_score":0.01032478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05237119830819939,"score_gpt":0.3248671752028417,"score_spread":0.2724959768946423,"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."}}