{"id":"W4400103724","doi":"10.1093/gbe/evae126","title":"High Polymorphism Levels of De Novo ORFs in a Yoruba Human Population","year":2024,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; European Research Council; Generalitat de Catalunya; European Commission; Canadian Arthritis Network; Universitetet i Stavanger","keywords":"Biology; ORFS; Genetics; Yoruba; Polymorphism (computer science); Population; Evolutionary biology; Genotype; Gene; Open reading frame; Demography; Peptide sequence; Linguistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002768798,0.0001831677,0.0003798201,0.001048577,0.0003989363,0.0004334856,0.0001187828,0.0002656266,0.0009524463],"category_scores_gemma":[0.0006251449,0.0001850475,0.0001604815,0.0006531887,0.0003164173,0.0001415604,0.0002845152,0.0001796746,0.000195142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288717,"about_ca_system_score_gemma":0.00008217195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002658425,"about_ca_topic_score_gemma":0.003372329,"domain_scores_codex":[0.9997607,0.00004729917,0.00001720456,0.0001105982,0.00002745314,0.00003679625],"domain_scores_gemma":[0.9997321,0.00007544723,0.00009220314,0.00003420312,0.00003239105,0.00003359314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004608836,0.0000509774,0.816601,0.00004867802,0.000143345,0.0004805883,0.002259368,0.00009911203,0.1678672,0.0001900784,0.0001016823,0.01169713],"study_design_scores_gemma":[0.00000457594,0.00009142598,0.9966909,0.00000646678,0.00002725279,0.000667802,0.0004032634,0.0001758397,0.001485522,0.00004941502,0.000391239,0.000006292176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995081,0.0001417352,0.000176811,0.000009026835,0.000001111148,0.000001987348,0.00005313523,0.000002303462,0.0001057837],"genre_scores_gemma":[0.9992249,0.0001605129,0.0002528678,0.00001315676,0.000004532285,0.000005426546,0.0001806578,0.000003978075,0.0001539686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002658425,"threshold_uncertainty_score":0.005285919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126293165569812,"score_gpt":0.2588499039682612,"score_spread":0.24622058741128,"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."}}