{"id":"W2996877030","doi":"10.1038/s41559-020-1220-8","title":"Microbial transmission in animal social networks and the social microbiome","year":2020,"lang":"en","type":"review","venue":"Nature Ecology & Evolution","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":248,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"National Institute on Aging; Biotechnology and Biological Sciences Research Council","keywords":"Microbiome; Transmission (telecommunications); Biology; Evolutionary biology; Computer science; Telecommunications; Genetics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004169058,0.0003964011,0.001073412,0.0001017945,0.0004069573,0.00002402636,0.0002846656,0.003596149,0.00001413689],"category_scores_gemma":[0.00002920398,0.0003002199,0.00039336,0.0002691034,0.0003778221,0.000003691853,0.0001595106,0.001754025,0.000008135515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001795572,"about_ca_system_score_gemma":0.0004728798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001263383,"about_ca_topic_score_gemma":0.0001665408,"domain_scores_codex":[0.997663,0.0006658575,0.0004956703,0.0006423975,0.00006001002,0.0004730831],"domain_scores_gemma":[0.999455,0.00003986018,0.0002813896,0.0001194674,0.00004573899,0.00005854677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004940003,0.0006723667,0.0002729398,0.01454024,0.001516497,0.00008257541,0.0013988,0.000006204406,0.05322768,0.005016352,0.2064887,0.7118376],"study_design_scores_gemma":[0.001572502,0.0001232379,0.001768319,0.0001943278,0.000307789,0.0001144163,0.00001662288,0.00001310882,0.000007038202,0.00001949385,0.9955592,0.0003039502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001629285,0.9952816,0.00008949376,0.001532224,0.0004403,0.0008978646,0.00006265713,0.00001488349,0.00005174036],"genre_scores_gemma":[0.03096586,0.9653835,0.00006078651,0.000529347,0.002024128,0.00004833386,0.000855147,0.0000508496,0.00008203457],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7890705,"threshold_uncertainty_score":0.999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006870260744477278,"score_gpt":0.2956124461316056,"score_spread":0.2887421853871284,"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."}}