{"id":"W2187842183","doi":"10.1038/nature16150","title":"Hemichordate genomes and deuterostome origins","year":2015,"lang":"en","type":"article","venue":"Nature","topic":"Echinoderm biology and ecology","field":"Agricultural and Biological Sciences","cited_by":279,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; National Human Genome Research Institute; Ministry of Science and Technology, Taiwan; Eunice Kennedy Shriver National Institute of Child Health and Human Development; U.S. Public Health Service; National Aeronautics and Space Administration; Ministry of Education, Culture, Sports, Science and Technology; Okinawa Institute of Science and Technology Graduate University; Academia Sinica","keywords":"Deuterostome; Biology; Most recent common ancestor; Genome; Evolutionary biology; Synteny; Gene; Echinoderm; Ancestor; Phylogenetic tree; Vertebrate; Genetics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001462419,0.0001645008,0.0001486576,0.0005464249,0.0005559606,0.0006475137,0.0002111392,0.0004790497,0.002001002],"category_scores_gemma":[0.0002901489,0.0001648893,0.0001323413,0.0005272324,0.0004421127,0.0005380266,0.0005311268,0.0003733332,0.0002611283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004753194,"about_ca_system_score_gemma":0.0002635301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0019735,"about_ca_topic_score_gemma":0.006148125,"domain_scores_codex":[0.9999288,0.000009225431,0.000003403051,0.00002510491,0.00001318197,0.00002010514],"domain_scores_gemma":[0.9998286,0.00005527625,0.00003433035,0.00002802058,0.00001869439,0.00003508399],"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":[0.0009903489,0.0000236898,0.06129073,0.0001857522,0.00007645819,0.0007994237,0.001255391,0.001104277,0.8772015,0.01915712,0.0006079967,0.03730727],"study_design_scores_gemma":[0.00002564956,0.0001266271,0.8527194,0.00008271399,0.00008285941,0.001073753,0.00215267,0.001643156,0.08791187,0.01136483,0.04278305,0.00003345088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891117,0.001576578,0.00157836,0.0002370462,0.0000119881,0.000003940187,0.000540624,0.00002783948,0.006911792],"genre_scores_gemma":[0.9957527,0.0006637622,0.0005570042,0.00007874076,0.000007889195,0.000002566594,0.0005923274,0.00001366207,0.002331465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002001002,"threshold_uncertainty_score":0.006693959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529961156957269,"score_gpt":0.2319998403507723,"score_spread":0.2167002287811996,"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."}}