{"id":"W2120145597","doi":"10.1186/1471-2164-14-495","title":"Selective constraint, background selection, and mutation accumulation variability within and between human populations","year":2013,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Biology; Genetics; Genome; 1000 Genomes Project; Allele frequency; Evolutionary biology; Population; Allele; Negative selection; Effective population size; Genetic variation; Human genome; Gene; Single-nucleotide polymorphism; Genotype","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034043,0.0001990939,0.000418567,0.0009999094,0.0002628744,0.0005720982,0.0003154083,0.0004067142,0.001250076],"category_scores_gemma":[0.00444672,0.000140082,0.0002380621,0.00103595,0.0006641576,0.0002811211,0.0004095516,0.0002966068,0.0001224322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859826,"about_ca_system_score_gemma":0.0001692275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565141,"about_ca_topic_score_gemma":0.001718001,"domain_scores_codex":[0.9993101,0.0001701554,0.00004387792,0.0003182295,0.0001136344,0.00004395218],"domain_scores_gemma":[0.9973551,0.001493019,0.000655511,0.0002182337,0.0001236191,0.0001545083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004729574,0.00004662877,0.913881,0.0001408321,0.0008038835,0.0003567572,0.0004394324,0.002787674,0.05410513,0.0008543681,0.0002161427,0.02589512],"study_design_scores_gemma":[0.00001193076,0.00009227871,0.9928692,0.00001375492,0.00008020708,0.0007112927,0.00007878622,0.002351543,0.002389991,0.001063216,0.0003245786,0.00001324188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949911,0.0007704651,0.003286038,0.00005128177,0.000003557919,0.000007307536,0.0003469693,0.00002473612,0.0005185663],"genre_scores_gemma":[0.998626,0.0001489109,0.0008039967,0.0000322177,0.000008683368,0.000009257255,0.0002700119,0.00001082062,0.00009009511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001565141,"threshold_uncertainty_score":0.005468547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05716772493646594,"score_gpt":0.3204871622302388,"score_spread":0.2633194372937728,"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."}}