{"id":"W3203184883","doi":"10.1101/2021.09.26.461846","title":"Gene flow biases population genetic inference of recombination rate","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Recombination; Linkage disequilibrium; Gene flow; Population; Biology; Evolutionary biology; Genetics; Population genetics; Recombination rate; Gene; Genetic variation; Allele; Haplotype; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01187932,0.000561581,0.0007258277,0.0008686872,0.0007803898,0.00162725,0.001121607,0.001016444,0.001552028],"category_scores_gemma":[0.0501539,0.0004644901,0.0004789926,0.0007871722,0.001826713,0.002057876,0.0009180055,0.001519769,0.0002973072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115093,"about_ca_system_score_gemma":0.0007696229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004376276,"about_ca_topic_score_gemma":0.002514888,"domain_scores_codex":[0.9939829,0.004019891,0.0002529437,0.000852627,0.0007324574,0.0001592752],"domain_scores_gemma":[0.9644822,0.02834001,0.002806176,0.002773682,0.001325126,0.0002728331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00125532,0.0003366752,0.3714618,0.0006466972,0.0008612936,0.0007520078,0.002066501,0.3231404,0.1193438,0.07555732,0.003499938,0.1010782],"study_design_scores_gemma":[0.0001593175,0.0002476088,0.07830049,0.0002356065,0.0002611765,0.0007902158,0.0005103131,0.7173817,0.06844807,0.128853,0.004652704,0.0001598008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8296797,0.0007713588,0.1612989,0.001400906,0.0001852948,0.00007661275,0.000360973,0.0009107117,0.005315487],"genre_scores_gemma":[0.9848408,0.00014192,0.0141551,0.0002610052,0.0000295617,0.00002121968,0.0001545941,0.00008230582,0.0003134563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01187932,"threshold_uncertainty_score":0.06282461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361040061159798,"score_gpt":0.2377605834177193,"score_spread":0.2241501828061213,"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."}}