{"id":"W2208435666","doi":"10.1101/033928","title":"Archaic adaptive introgression in <i>TBX15/WARS2</i>","year":2015,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California Merced; Israel Science Foundation; National Institutes of Health; National Science Foundation","keywords":"Introgression; Biology; Haplotype; DNA methylation; Evolutionary biology; Genome; Selection (genetic algorithm); Population; Adipose tissue; Genetics; SNP; Allele; Gene; Single-nucleotide polymorphism; Genotype; Gene expression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000301908,0.0002635671,0.0002863661,0.0005339676,0.0004023203,0.0004252015,0.0002431035,0.0002108788,0.002533412],"category_scores_gemma":[0.0002244814,0.0001225389,0.0002392695,0.0004577193,0.0004366302,0.0001050252,0.0004482827,0.000401165,0.0002178894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557927,"about_ca_system_score_gemma":0.000155905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003816472,"about_ca_topic_score_gemma":0.01181793,"domain_scores_codex":[0.9998131,0.00002387608,0.00001000041,0.00009167635,0.00002987745,0.00003139206],"domain_scores_gemma":[0.9998639,0.00002403014,0.00004159852,0.00002066817,0.00001763982,0.0000322248],"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":[0.0006135666,0.00005570157,0.1671812,0.00008227026,0.000362847,0.0009200384,0.0006691026,0.0002669762,0.815289,0.0008305361,0.000409723,0.01331906],"study_design_scores_gemma":[0.00002611351,0.0001088242,0.9597508,0.00001886303,0.0001360553,0.001144507,0.0003355409,0.0006884718,0.03281595,0.0002341071,0.004723986,0.00001669947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997479,0.0001273881,0.001026581,0.00005812618,0.00001651971,0.000005842504,0.0003370616,0.00002909919,0.0009203909],"genre_scores_gemma":[0.9978799,0.00005643006,0.0005578591,0.0001049743,0.00000948166,0.000005703426,0.0004186043,0.00002812982,0.0009389413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003816472,"threshold_uncertainty_score":0.008475065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580813193705196,"score_gpt":0.2605576662740752,"score_spread":0.2347495343370232,"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."}}