{"id":"W3121170736","doi":"10.1038/s42003-020-01637-2","title":"Horseshoe crab genomes reveal the evolution of genes and microRNAs after three rounds of whole genome duplication","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); Environment and Conservation Fund; Chinese University of Hong Kong","keywords":"Horseshoe crab; Biology; Genome; Evolutionary biology; Synteny; Living fossil; Phylogenomics; Most recent common ancestor; Gene; Lineage (genetic); Phylogenetics; Genetics; Ecology; Clade","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":[0.0001537858,0.00008859608,0.0001486882,0.00002849954,0.0001139805,0.000005502292,0.0003700663,0.00009915671,0.000003797789],"category_scores_gemma":[0.00003463618,0.00007266731,0.00005943733,0.00009716462,0.0004889418,9.178512e-7,0.0006245811,0.00005415218,0.00000134656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001390218,"about_ca_system_score_gemma":0.0000818958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005344263,"about_ca_topic_score_gemma":0.00043678,"domain_scores_codex":[0.9993203,0.0001162863,0.0002491181,0.0001803512,0.00002691846,0.000107071],"domain_scores_gemma":[0.9983767,0.00004223721,0.0001375592,0.001192837,0.000231089,0.00001961967],"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":[0.00001397108,0.00003895825,0.06796847,0.00001035692,0.00007847822,4.565076e-8,0.00008537352,0.000005936645,0.9272497,0.001741422,0.00002048006,0.002786802],"study_design_scores_gemma":[0.0004753459,0.0002669639,0.7703906,0.00001294453,0.000119858,0.00003171945,0.0007444451,0.00007090072,0.08444074,0.006304129,0.1368884,0.000253941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.849353,0.1483261,0.0007232914,0.0009740876,0.00003287187,0.0001174265,0.0001107289,0.00000146792,0.0003610468],"genre_scores_gemma":[0.9878777,0.008994024,0.002699607,0.00006444083,0.00003893351,0.00005404864,0.0001603865,0.000008211809,0.0001027013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.842809,"threshold_uncertainty_score":0.2963287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771207485288329,"score_gpt":0.259330375851456,"score_spread":0.2416183009985727,"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."}}