{"id":"W2951367039","doi":"10.1016/j.ympev.2017.10.008","title":"Exon-based phylogenomics strengthens the phylogeny of Neotropical cichlids and identifies remaining conflicting clades (Cichliformes: Cichlidae: Cichlinae)","year":2017,"lang":"en","type":"article","venue":"Molecular Phylogenetics and Evolution","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Royal Ontario Museum","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canada Foundation for Innovation; Coypu Foundation; National Geographic Society","keywords":"Biology; Cichlid; Phylogenomics; Evolutionary biology; Phylogenetics; Clade; Subfamily; Genome; Zoology; Ecology; Gene; Genetics; Fish <Actinopterygii>; Fishery","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":[0.0007016052,0.0003156658,0.0003839553,0.0009871108,0.0006084565,0.0007828529,0.0003471017,0.0005011638,0.001670536],"category_scores_gemma":[0.001295559,0.0001986566,0.0003259034,0.001071955,0.0005223945,0.0004704949,0.0007506919,0.000812796,0.0004176618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909764,"about_ca_system_score_gemma":0.0003770999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002080682,"about_ca_topic_score_gemma":0.009710205,"domain_scores_codex":[0.9997256,0.00005295363,0.00001955094,0.000126645,0.00003526746,0.000039954],"domain_scores_gemma":[0.99906,0.0003612068,0.0002184763,0.0001722533,0.0001200826,0.00006811411],"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":[0.0009457095,0.0001164963,0.2563532,0.0004012984,0.0006388786,0.0005400977,0.001766833,0.004079821,0.6371039,0.002896491,0.001113638,0.09404366],"study_design_scores_gemma":[0.00007259703,0.00007971294,0.9510323,0.0001357024,0.0005930904,0.0006829483,0.000753039,0.01773919,0.01469092,0.004325488,0.009855459,0.00003966496],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930258,0.0005419864,0.003382586,0.0001501169,0.00001694607,0.000005660904,0.0007803935,0.00005757779,0.002038901],"genre_scores_gemma":[0.9924092,0.0003398108,0.004845339,0.0003045603,0.00002067089,0.000008830639,0.001434404,0.00007206234,0.0005650846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002080682,"threshold_uncertainty_score":0.005588531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451364299551529,"score_gpt":0.2546863641317959,"score_spread":0.2401727211362805,"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."}}