{"id":"W4311123296","doi":"10.1101/2022.12.09.519446","title":"Genomic data suggest parallel dental vestigialization within the xenarthran radiation","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; France-Berkeley Fund; Université de Montpellier; Broad Institute; European Commission; Campus France; Universidad de la República Uruguay; Centre Méditerranéen de l’Environnement et de la Biodiversité; Centre National de la Recherche Scientifique; Canada Research Chairs; Agence Nationale de la Recherche; Louisiana State University; National Science Foundation","keywords":"Biology; Armadillo; Evolutionary biology; Most recent common ancestor; Xenarthra; Lineage (genetic); Genetics; Gene; Genome; Zoology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000194771,0.0002298876,0.0002149646,0.0009497762,0.0004120941,0.0005494211,0.000263068,0.0004388539,0.003508578],"category_scores_gemma":[0.000362102,0.0001747972,0.0002689499,0.0004705933,0.0006684198,0.0003171458,0.0006249404,0.0004230443,0.0004917915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001488603,"about_ca_system_score_gemma":0.0001722566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004533343,"about_ca_topic_score_gemma":0.001241324,"domain_scores_codex":[0.9998272,0.00001595315,0.00001233004,0.00008290281,0.00003077933,0.00003093597],"domain_scores_gemma":[0.9997087,0.00007070764,0.00009972479,0.00004194487,0.00003973957,0.00003922741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007009535,0.0000425225,0.2232661,0.0002179299,0.0001480217,0.0008384436,0.001453968,0.0005836018,0.744032,0.001647911,0.00009062525,0.02697795],"study_design_scores_gemma":[0.000009274872,0.0001761542,0.989738,0.00001574555,0.00004052752,0.001083764,0.0003216717,0.0003785159,0.005614658,0.0003567846,0.002252319,0.00001250948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971955,0.0003510093,0.0008006254,0.00002362857,0.000003133766,0.000006009654,0.0001509914,0.00001809793,0.001451061],"genre_scores_gemma":[0.9979322,0.0002974959,0.000692783,0.00003123475,0.000008260859,0.0000106012,0.000449076,0.00001012362,0.0005683121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003508578,"threshold_uncertainty_score":0.01173735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792641922175602,"score_gpt":0.2304653975594735,"score_spread":0.2125389783377175,"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."}}