{"id":"W4296999094","doi":"10.1038/s41598-022-20330-4","title":"Fertility costs of cryptic viral infections in a model social insect","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Michael Smith Health Research BC; University of Alberta; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Army Research Office; Genome British Columbia; Natural Sciences and Engineering Research Council of Canada; Project Apis m.; Animal and Plant Health Inspection Service; Compute Canada; Genome Canada; National Research Council; U.S. Department of Agriculture","keywords":"Biology; Honey bee; Insect; Vitellogenin; Brood; Zoology; Reproduction; Ovary; Fertility; Beekeeping; Virus; Virology; Ecology; Genetics; Population; Demography","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":[0.0002304814,0.0001762512,0.0001453276,0.00030166,0.0003124308,0.0003445241,0.0003086925,0.0002205746,0.001252328],"category_scores_gemma":[0.0003653663,0.0001054208,0.0001540965,0.0001480238,0.0003896551,0.000219308,0.0002473965,0.0003004851,0.00007289103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000943466,"about_ca_system_score_gemma":0.0002730908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009745993,"about_ca_topic_score_gemma":0.0289239,"domain_scores_codex":[0.9998996,0.00002638466,0.000004444639,0.00002481679,0.00002417496,0.00002058582],"domain_scores_gemma":[0.9997037,0.00009298589,0.0001151032,0.0000284702,0.0000180533,0.00004174966],"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":[0.0006330872,0.0003401062,0.2328414,0.0002727815,0.0001517439,0.0004327961,0.0003963,0.009128271,0.7253335,0.003786763,0.0002543327,0.026429],"study_design_scores_gemma":[0.00004555378,0.001310847,0.9448079,0.00001892393,0.00008700823,0.0008243794,0.0005517175,0.01531457,0.03294146,0.002133021,0.001945146,0.00001943587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989405,0.000209558,0.0002587977,0.00001901427,7.923896e-7,0.000004669415,0.00007803757,0.000006076966,0.000482425],"genre_scores_gemma":[0.9991055,0.00008597661,0.0004748774,0.000007210612,0.000001161113,0.000006721568,0.00006110065,0.000001636634,0.000255727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009745993,"threshold_uncertainty_score":0.01937854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695305262092288,"score_gpt":0.2668389928061387,"score_spread":0.2498859401852158,"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."}}