{"id":"W4200468641","doi":"10.1101/2021.12.20.473448","title":"Extensive genome introgression between domestic ferret and European polecat during population recovery in Great Britain.","year":2021,"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":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia","funders":"Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Vincent Wildlife Trust; Centre National de la Recherche Scientifique; Sight Research UK; UK Research and Innovation","keywords":"Mustela putorius; Introgression; Biology; Population; European population; Range (aeronautics); Zoology; Genetics; Gene; Demography","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":[0.0003013504,0.0002204888,0.0002874679,0.000850539,0.0003784932,0.0004857108,0.0002045252,0.0005025659,0.001152995],"category_scores_gemma":[0.0007527339,0.0001327591,0.0002441518,0.0005755238,0.0004292758,0.0002367968,0.0005827564,0.0003183791,0.0001887811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004454383,"about_ca_system_score_gemma":0.0001221859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006291243,"about_ca_topic_score_gemma":0.01571127,"domain_scores_codex":[0.9997116,0.00004470397,0.00001471641,0.0001242925,0.00006483779,0.00003986814],"domain_scores_gemma":[0.999702,0.00007744114,0.00009174323,0.00003748989,0.00004342115,0.00004783885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001395521,0.0001189287,0.4812226,0.0001750606,0.0004644684,0.002321146,0.005743904,0.0003527439,0.4705406,0.0003925057,0.0008178384,0.03645467],"study_design_scores_gemma":[0.000007744239,0.00006567097,0.9964778,0.000008579445,0.00002527253,0.000567585,0.0003016664,0.00008471929,0.001334231,0.00003436186,0.001086718,0.000005585041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988497,0.0001997959,0.0001387817,0.0000320376,0.000004414462,0.000004042409,0.0001891094,0.000008903794,0.000573123],"genre_scores_gemma":[0.9975339,0.0001477187,0.0002282287,0.00007235492,0.000003415261,0.00001035614,0.001049858,0.00001043884,0.0009435714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006291243,"threshold_uncertainty_score":0.01250923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008662392619624053,"score_gpt":0.2171314821886855,"score_spread":0.2084690895690615,"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."}}