{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001058603,0.00006141663,0.00007928942,0.000004576653,0.00006491988,0.00001775019,0.0001112414,0.0006900033,0.00008298712],"category_scores_gemma":[0.00002808041,0.00002040921,0.00001630275,0.00007516142,0.00004171874,0.00009621507,0.00005481466,0.0005166079,0.00004440664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001151326,"about_ca_system_score_gemma":0.000003964192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003144735,"about_ca_topic_score_gemma":0.0007464952,"domain_scores_codex":[0.9995871,0.00002410489,0.00005207098,0.0001522888,0.00003826879,0.00014621],"domain_scores_gemma":[0.9998065,0.00004219539,0.00001996722,0.00002519086,0.00002502454,0.0000811565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006363496,0.0000443041,0.8658768,0.000003643692,0.00002339366,0.00002188605,0.0001381531,6.18004e-7,0.07666526,0.007238243,0.01878558,0.03113848],"study_design_scores_gemma":[0.0001519269,0.0001615639,0.2249935,0.000002035853,0.000005550423,0.00005614115,0.00007996319,0.00001143592,0.00157093,0.003260326,0.7695737,0.0001328785],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920576,0.002457196,2.318778e-7,0.00346758,0.0002211004,0.00004148479,0.00001542679,0.00003844504,0.001700936],"genre_scores_gemma":[0.9965147,0.0001391168,0.00006714732,0.002504124,0.0001852616,0.000002360195,0.00004009332,2.781861e-7,0.0005469604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7507881,"threshold_uncertainty_score":0.5321937,"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."}}