{"id":"W2951327293","doi":"10.1101/674440","title":"Coupling Wright-Fisher and coalescent dynamics for realistic simulation of population-scale datasets","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Coalescent theory; Identity by descent; Wright; Population; Computer science; Minion; Statistical physics; Evolutionary biology; Biology; Genome; Physics; Genetics; Haplotype; Nanopore sequencing; Phylogenetics","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":[0.003565752,0.0006356043,0.0007696611,0.0008924752,0.0007150164,0.001114491,0.002037539,0.002183515,0.00309014],"category_scores_gemma":[0.02255469,0.0007055518,0.0008865821,0.0008014785,0.001090803,0.001605446,0.001952815,0.001858431,0.0004344257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320666,"about_ca_system_score_gemma":0.001064685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281936,"about_ca_topic_score_gemma":0.00916278,"domain_scores_codex":[0.9990963,0.0005320005,0.00004958579,0.0001347554,0.0001371355,0.0000504025],"domain_scores_gemma":[0.9911179,0.007194795,0.0004068819,0.0006152602,0.0003635228,0.0003016019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002631413,0.00002186915,0.00164858,0.00002022786,0.00002317254,0.00004836619,0.00005121678,0.9803972,0.00045021,0.0142131,0.0004613116,0.002638424],"study_design_scores_gemma":[0.000007255315,0.000002589169,0.0001013057,0.000002354005,0.000001651263,0.000005582092,0.000002621364,0.9942985,0.0000730214,0.005348472,0.0001531196,0.000003550512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1596342,0.000197907,0.8341019,0.0009394726,0.00008034968,0.0001043965,0.000749076,0.001200875,0.002991961],"genre_scores_gemma":[0.7350025,0.000206497,0.2606548,0.0003107199,0.00007393231,0.0003544981,0.0009018634,0.0003817958,0.002113415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01281936,"threshold_uncertainty_score":0.02548945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329476854635654,"score_gpt":0.255351068931356,"score_spread":0.2420563003849994,"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."}}