{"id":"W4412165531","doi":"10.1126/science.adu1990","title":"Origins and diversity of Greenland’s <i>Qimmit</i> revealed with genomes of ancient and modern sled dogs","year":2025,"lang":"en","type":"article","venue":"Science","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inbreeding; Geography; Population; Urbanization; Climate change; European population; Competition (biology); Diversity (politics); Biology; Ecology; Demography; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004425225,0.0002094988,0.0002445707,0.0007671611,0.0006333587,0.0007744093,0.0002603974,0.0002840019,0.001402932],"category_scores_gemma":[0.000800042,0.000177529,0.0003246921,0.001377253,0.0004385516,0.0003393057,0.0006773063,0.0004313331,0.0003823305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008237247,"about_ca_system_score_gemma":0.0006333315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01769734,"about_ca_topic_score_gemma":0.05426861,"domain_scores_codex":[0.9997705,0.00002346305,0.00001091515,0.0001029383,0.00003604683,0.0000562278],"domain_scores_gemma":[0.9996387,0.00006711447,0.0001117854,0.00005019648,0.00006621071,0.00006598642],"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":[0.001000807,0.0000567065,0.4518895,0.000426886,0.0004903508,0.0008037861,0.006871824,0.001425446,0.4724785,0.004851146,0.00735225,0.05235278],"study_design_scores_gemma":[0.00001729417,0.00005389258,0.9578996,0.0000897901,0.0001260156,0.000527845,0.0008955701,0.00120653,0.006135899,0.0007311093,0.03228351,0.00003298267],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836299,0.0004249742,0.001879675,0.0001902473,0.00001493256,0.00000991881,0.01150096,0.00007532844,0.002274067],"genre_scores_gemma":[0.9689245,0.0002119011,0.005472262,0.00031693,0.00001067391,0.00001877391,0.02343747,0.0001287651,0.001478832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01769734,"threshold_uncertainty_score":0.03518867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006594487725591563,"score_gpt":0.197991506036796,"score_spread":0.1913970183112045,"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."}}