{"id":"W3157249316","doi":"10.1101/gr.272310.120","title":"The genomic basis of evolutionary differentiation among honey bees","year":2021,"lang":"en","type":"article","venue":"Genome Research","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; Instituto de Salud Carlos III; National Institute on Aging; National Institute of Food and Agriculture; National Science Foundation; National Institutes of Health; Ministerio de Economía y Competitividad; Chiang Mai University; U.S. Department of Agriculture","keywords":"Biology; Honey bee; Eusociality; Evolutionary biology; Phylogenetics; Genome; Lineage (genetic); Genetics; Zoology; Gene; Hymenoptera","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":[0.0003668509,0.00005601145,0.00007024287,0.00003685229,0.0003789852,0.00001609898,0.0001677387,0.0001087389,0.0001159306],"category_scores_gemma":[0.00007377049,0.00004382429,0.0000663259,0.0001174701,0.0002218008,0.000002431007,0.0001951769,0.0001380725,0.0000218629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001850508,"about_ca_system_score_gemma":0.0001380087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001708724,"about_ca_topic_score_gemma":0.0001080572,"domain_scores_codex":[0.9990903,0.0001924851,0.0001314375,0.0001789089,0.0001477539,0.0002591673],"domain_scores_gemma":[0.9994022,0.00003785157,0.00003068567,0.0002567548,0.0002342517,0.00003828884],"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":[0.00003416389,0.00006244341,0.04648657,0.000008975871,0.00002891263,0.000003461855,0.00003930629,0.000006252848,0.9516902,0.0001315887,0.0005691841,0.0009389676],"study_design_scores_gemma":[0.0001416258,0.00009580368,0.6515754,0.000002582843,0.000007368536,0.000005371078,0.0001471254,0.00001346101,0.3441439,0.0001694887,0.003640578,0.00005729043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968498,0.002224955,0.00003425414,0.0001716827,0.00008443808,0.00009808099,0.00001535049,0.000002976164,0.000518508],"genre_scores_gemma":[0.9947771,0.0008421727,0.00006252346,0.00001243481,0.0001514132,0.00003004539,0.0001546625,0.000007811022,0.00396188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6075463,"threshold_uncertainty_score":0.2914886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711930890065783,"score_gpt":0.3078745866809922,"score_spread":0.2807552777803343,"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."}}