{"id":"W2931347332","doi":"10.1126/science.aat7244","title":"Convergent regulatory evolution and loss of flight in paleognathous birds","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":292,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Toronto","funders":"National Institute of General Medical Sciences; National Science Foundation","keywords":"Convergent evolution; Biology; Taxon; Convergence (economics); Evolutionary biology; Regulatory sequence; Ecology; Gene; Phylogenetics; Regulation of gene expression; Genetics; Economics","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":[0.0002012182,0.000189773,0.0002265551,0.0007726608,0.0002450515,0.0003010276,0.0002119561,0.000233409,0.0009253707],"category_scores_gemma":[0.0004365919,0.0001718073,0.0002236171,0.0004257106,0.0006742741,0.0002072964,0.0004450135,0.0002756153,0.0001591086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233352,"about_ca_system_score_gemma":0.0001761501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027862,"about_ca_topic_score_gemma":0.002195687,"domain_scores_codex":[0.9998168,0.00002518245,0.00000976864,0.00007757651,0.00004104311,0.00002969992],"domain_scores_gemma":[0.9997674,0.00005524694,0.00008459519,0.00002741806,0.0000232835,0.00004211913],"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":[0.0002157894,0.00001887275,0.09767152,0.00007535255,0.00008763377,0.0002211952,0.0003288526,0.0005507842,0.8917482,0.0006467088,0.00002497717,0.008410146],"study_design_scores_gemma":[0.000004280584,0.00004989929,0.9925355,0.000007297159,0.00002022875,0.0002472436,0.0001072851,0.0006887924,0.005864848,0.0002248583,0.0002438782,0.000005931519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986834,0.0001329103,0.000675102,0.00001875261,9.818684e-7,0.000002079345,0.00005200842,0.000008826843,0.0004259486],"genre_scores_gemma":[0.99915,0.00007738855,0.0003498145,0.00002049861,0.000003834719,0.000003987527,0.0001318107,0.000005093431,0.0002575661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001027862,"threshold_uncertainty_score":0.003095627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004599185206871029,"score_gpt":0.213306788662356,"score_spread":0.208707603455485,"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."}}