{"id":"W2563536950","doi":"10.1101/096800","title":"Evolutionary history of the brown rat: out of southern East Asia and selection","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Centre National de la Recherche Scientifique; Institut National de la Recherche Agronomique; Chinese Academy of Sciences","keywords":"Domestication; Biological dispersal; Biology; Selection (genetic algorithm); Positive selection; Evolutionary biology; East Asia; Zoology; Gene; Ecology; Geography; Genetics; Demography; Archaeology; China","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":[0.0006100443,0.0001777717,0.0002082049,0.0005982114,0.0003311498,0.0004718945,0.0001677455,0.0001773991,0.0008966146],"category_scores_gemma":[0.0003288936,0.00009962689,0.000149771,0.0005705258,0.000833118,0.0003084322,0.0004806799,0.0003155407,0.0001332622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002503409,"about_ca_system_score_gemma":0.000196748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001812278,"about_ca_topic_score_gemma":0.003420068,"domain_scores_codex":[0.9998517,0.00003859825,0.000007329298,0.00006158215,0.00002007874,0.00002080848],"domain_scores_gemma":[0.9997217,0.00006233478,0.00009652593,0.00002757435,0.00004785932,0.00004389122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000677616,0.00008387354,0.7394851,0.0001600546,0.0003769791,0.001317093,0.004773689,0.001010892,0.1843799,0.004539707,0.0003394726,0.06285559],"study_design_scores_gemma":[0.000011935,0.0001332441,0.988286,0.00004288317,0.00009587732,0.0008117413,0.001279467,0.0007544655,0.002964375,0.001043364,0.004554785,0.00002186589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978778,0.0004537596,0.000438449,0.0001169861,0.000004203381,0.000001251103,0.00003042763,0.000005952043,0.00107123],"genre_scores_gemma":[0.9989554,0.0003469537,0.0003369601,0.00005304247,0.000008294865,0.00000156105,0.00004557927,0.000004702295,0.000247437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001812278,"threshold_uncertainty_score":0.003603458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001327840382078,"score_gpt":0.1898831036625933,"score_spread":0.1798698252587725,"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."}}