{"id":"W2088508580","doi":"10.1111/2041-210x.12343","title":"Flexible methods for estimating genetic distances from single nucleotide polymorphisms","year":2015,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coalescent theory; SNP; Single-nucleotide polymorphism; Biology; Genetic variation; Genetic distance; Massive parallel sequencing; Range (aeronautics); Evolutionary biology; Genetics; Computer science; Computational biology; Statistics; DNA sequencing; Mathematics; Gene; Genotype; Phylogenetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006858047,0.0001070133,0.0001616739,0.00005197308,0.00009704488,0.00001403084,0.00009198893,0.0002131353,0.000009751719],"category_scores_gemma":[0.0004498193,0.0001118461,0.00003721004,0.00007351064,0.00009983916,0.000007903648,0.00007568566,0.00006350051,0.000001370662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003396562,"about_ca_system_score_gemma":0.00004149452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007277972,"about_ca_topic_score_gemma":0.0001125803,"domain_scores_codex":[0.9988649,0.0004301868,0.0001890419,0.0002951994,0.0000325191,0.0001881718],"domain_scores_gemma":[0.9995392,0.0001089019,0.00008848778,0.0001403399,0.00005295919,0.00007010416],"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":[0.0004595498,0.0001086821,0.3031741,0.0000332366,0.00009026612,0.000001535866,0.0006845407,0.006764269,0.3575633,0.0006928007,0.001025531,0.3294021],"study_design_scores_gemma":[0.003060124,0.0009832449,0.6632533,0.00002547927,0.0001400532,0.00002747565,0.0008430557,0.04015838,0.06715356,0.1820893,0.04160031,0.0006656537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.32785,0.001254564,0.6698133,0.0000765064,0.000714913,0.0001168585,0.0000118241,0.000008794676,0.0001531672],"genre_scores_gemma":[0.2418457,0.00001066675,0.7576831,0.00009239941,0.0001630242,0.00001344849,0.00004771893,0.000006915893,0.0001370445],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3600792,"threshold_uncertainty_score":0.4560952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04558093860454004,"score_gpt":0.3634213907349461,"score_spread":0.317840452130406,"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."}}