{"id":"W2994970765","doi":"10.1093/nsr/nwz213","title":"Convergent genomic signatures of high-altitude adaptation among domestic mammals","year":2019,"lang":"en","type":"article","venue":"National Science Review","topic":"High Altitude and Hypoxia","field":"Biochemistry, Genetics and Molecular Biology","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National High-tech Research and Development Program; Qinghai Provincial Department of Science and Technology; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Biology; Convergent evolution; Adaptation (eye); Gene; Evolutionary biology; Genome; Domestic animal; Plateau (mathematics); Positive selection; Effects of high altitude on humans; Genetics; Phylogenetics; Zoology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006388255,0.00007382867,0.0001385119,0.00004958114,0.00004580538,0.00001000287,0.0002522319,0.0000424017,0.0002114912],"category_scores_gemma":[0.0002007258,0.00006180818,0.00005425757,0.0002210683,0.0001386815,0.00001164084,0.00005891415,0.00004289265,0.00008024551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003130306,"about_ca_system_score_gemma":0.0004012389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002089811,"about_ca_topic_score_gemma":0.00001278321,"domain_scores_codex":[0.9989446,0.00002659163,0.0002067972,0.0002435391,0.0004463049,0.0001321064],"domain_scores_gemma":[0.999343,0.0000143308,0.0001274536,0.0001422288,0.0003159704,0.00005702543],"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":[0.00001122877,0.00006661291,0.004318362,0.0006371158,0.0000347975,9.672658e-7,0.0000190293,0.001626605,0.9704943,0.01858597,0.001308765,0.002896223],"study_design_scores_gemma":[0.001601528,0.0007077554,0.7589707,0.002138976,0.0001621557,0.0000324659,0.00003117938,0.001251792,0.1117746,0.002515326,0.1197748,0.001038763],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622052,0.03484474,0.0002861932,0.0002287238,0.0002140372,0.0004785819,0.00001622264,0.000005705181,0.001720601],"genre_scores_gemma":[0.9880234,0.01052243,0.0006888923,0.0004311451,0.00005092532,0.00001289353,0.00004173733,0.000004302551,0.00022425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8587197,"threshold_uncertainty_score":0.2520464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296680868265636,"score_gpt":0.287224903214946,"score_spread":0.2742580945322897,"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."}}