{"id":"W2990639324","doi":"10.1101/851089","title":"Balancing Selection at <i>HLA-G</i> Modulates Fetal Survival, Preeclampsia and Human Birth Sex Ratio","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Reproductive System and Pregnancy","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kwantlen Polytechnic University; Simon Fraser University","funders":"Astellas Foundation for Research on Metabolic Disorders; Päivikki ja Sakari Sohlbergin Säätiö; Karolinska Institutet; Astellas Pharma; Great Britain Sasakawa Foundation; Suomen Lääketieteen Säätiö; Japan Eye Bank Association; Japan Society for the Promotion of Science; Helsingin Yliopisto; Eye Bank Association of America","keywords":"Human leukocyte antigen; Offspring; Fetus; HLA-G; Biology; Preeclampsia; Population; Balancing selection; Pregnancy; Immunology; Sex ratio; Antigen; Genetics; Medicine; Major histocompatibility complex","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008511643,0.0007472988,0.0009917025,0.0002492581,0.0005597483,0.0001461552,0.0003963133,0.001096059,0.0001580372],"category_scores_gemma":[0.00009134793,0.0007615296,0.0001771739,0.0002596766,0.0002268391,0.0002084064,0.0007227572,0.000933121,0.0003319124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947441,"about_ca_system_score_gemma":0.0002513287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002038554,"about_ca_topic_score_gemma":0.00001604234,"domain_scores_codex":[0.9961087,0.0006242118,0.0006744572,0.001763381,0.0001288314,0.0007003865],"domain_scores_gemma":[0.9975541,0.00008805978,0.0006067469,0.001322958,0.0003454498,0.00008265328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002680748,0.00006060375,0.2183434,0.0005428471,0.0003765368,0.00000514966,0.00003480677,0.00009424656,0.7797576,0.0003584612,0.0003982712,0.000001248832],"study_design_scores_gemma":[0.001053909,0.00013908,0.3593761,0.0005455498,0.0001451581,4.456681e-7,0.000007914161,0.00003939102,0.6308624,0.000004836515,0.006817724,0.001007491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982079,0.01140768,0.0006727896,0.00006129107,0.003666946,0.001354951,0.0001751876,0.0004837738,0.00009833783],"genre_scores_gemma":[0.9981642,0.0001854131,0.0001747677,0.00003824813,0.0003756349,0.0001473701,0.000004908098,0.0001422065,0.0007672689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1488952,"threshold_uncertainty_score":0.9994836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093223470885066,"score_gpt":0.2116111971556922,"score_spread":0.2006789624468416,"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."}}