{"id":"W3162770821","doi":"10.1111/mec.15977","title":"Ancient horse genomes reveal the timing and extent of dispersals across the Bering Land Bridge","year":2021,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature; Yukon Department of Tourism and Culture; University of Alberta","funders":"U.S. Bureau of Land Management; Vetenskapsrådet; Science for Life Laboratory; Natural Sciences and Engineering Research Council of Canada; Knut och Alice Wallenbergs Stiftelse; Russian Academy of Sciences; Russian Foundation for Basic Research; Uppsala Multidisciplinary Center for Advanced Computational Science; Svenska Forskningsrådet Formas; European Commission; University of California, Santa Cruz; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Biology; Land bridge; Bridge (graph theory); Ancient DNA; Genome; Ecology; Evolutionary biology; Biological dispersal; Genetics; Population; Gene; 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":[0.0002100412,0.0001561557,0.0002433393,0.0006580781,0.0003160386,0.0004304508,0.000118274,0.0003158152,0.00142873],"category_scores_gemma":[0.0005304092,0.0001553801,0.0001812846,0.0007141151,0.0001897617,0.0003397767,0.0003756405,0.0003697375,0.0003619082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966475,"about_ca_system_score_gemma":0.0001166647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003086897,"about_ca_topic_score_gemma":0.01074628,"domain_scores_codex":[0.9998763,0.00001330921,0.000006372979,0.00006767513,0.00001674946,0.0000196389],"domain_scores_gemma":[0.9997038,0.00006852507,0.0001182568,0.00002296428,0.00003576515,0.00005066488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007526539,0.0000753764,0.5669518,0.0003568858,0.000359627,0.001004878,0.004349176,0.001671588,0.3807067,0.001015578,0.001418601,0.04133709],"study_design_scores_gemma":[0.000006041962,0.00003131679,0.9953674,0.00001562848,0.00003671668,0.0002181638,0.000207106,0.0007457775,0.00110487,0.0001289124,0.002131028,0.000007000128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980142,0.0003917125,0.0003230979,0.00002727602,0.000002531069,0.000001428888,0.0007974835,0.00001840387,0.0004239558],"genre_scores_gemma":[0.9965802,0.0001702444,0.0006573609,0.00003246366,0.000005310064,0.000002829583,0.002112033,0.00001571088,0.0004239379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003086897,"threshold_uncertainty_score":0.006137848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161710537872255,"score_gpt":0.2393682201032467,"score_spread":0.2277511147245241,"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."}}