{"id":"W4410456155","doi":"10.1126/science.adr2355","title":"Sustainability insights from Late Pleistocene climate change and horse migration patterns","year":2025,"lang":"en","type":"article","venue":"Science","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon Department of Environment; Yukon Health and Social Services; University of Alberta; Carleton University; Canadian Museum of Nature; Royal Alberta Museum; Okanagan College; University of Ottawa","funders":"Agence Nationale de la Recherche","keywords":"Beringia; Climate change; Pleistocene; Geography; Land bridge; Habitat; Population; Wildlife; Ecology; Archaeology; Biology; Biological dispersal","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006835131,0.0001816819,0.0001569564,0.001002722,0.0004024983,0.001184917,0.0001584896,0.0001851318,0.002045848],"category_scores_gemma":[0.001882706,0.00009476721,0.0001678487,0.0009414878,0.001022194,0.001111399,0.000834998,0.0005111629,0.0001325544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006203194,"about_ca_system_score_gemma":0.0005426394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01450468,"about_ca_topic_score_gemma":0.04248267,"domain_scores_codex":[0.9998914,0.00003158259,0.00000610012,0.00002966573,0.00001552495,0.00002575922],"domain_scores_gemma":[0.9994362,0.0001329719,0.000181963,0.00004487822,0.0001194045,0.00008464786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005730775,0.00002886678,0.9263724,0.0001079162,0.0001156121,0.0001867172,0.007109418,0.002250594,0.003590827,0.006832729,0.0006040582,0.0527435],"study_design_scores_gemma":[9.593919e-7,0.00001548299,0.9890143,0.00004558349,0.00002370342,0.00005076706,0.002711054,0.0006751334,0.0001479416,0.004118438,0.003190192,0.000006296981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822458,0.002038433,0.00218335,0.001314437,0.000027839,0.00000444836,0.0003167581,0.00001733092,0.01185152],"genre_scores_gemma":[0.9981363,0.0008222005,0.0004852454,0.00007815461,0.00002245751,0.000002334047,0.00009679527,0.000006180448,0.0003503326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01450468,"threshold_uncertainty_score":0.02884048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064760984435694,"score_gpt":0.2347787265338931,"score_spread":0.2241311166895361,"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."}}