{"id":"W3019734846","doi":"10.1016/j.jip.2020.107387","title":"Understanding the role of the shrimp gut microbiome in health and disease","year":2020,"lang":"en","type":"review","venue":"Journal of Invertebrate Pathology","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":347,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Biotechnology and Biological Sciences Research Council; Department for Environment, Food and Rural Affairs, UK Government; University of Exeter; Centre for Environment, Fisheries and Aquaculture Science; Newton Fund","keywords":"Biology; Shrimp; Microbiome; Gut flora; Aquaculture; Shrimp farming; Disease; Zoology; Ecology; Immunology; Fishery; Bioinformatics; Fish <Actinopterygii>; Medicine","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":[0.0007523496,0.0001961943,0.0009354675,0.00007957838,0.00007989229,0.00001833691,0.0005030448,0.00009709556,0.0000519381],"category_scores_gemma":[0.000122557,0.00009882631,0.000236732,0.0003559908,0.0002315522,0.00007135739,0.0004793586,0.0004865188,0.00001492662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004863478,"about_ca_system_score_gemma":0.000285696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003560621,"about_ca_topic_score_gemma":0.0003467212,"domain_scores_codex":[0.9978555,0.0006599441,0.0009130348,0.0001775873,0.0001720847,0.0002218398],"domain_scores_gemma":[0.9981803,0.0001049558,0.001278861,0.0002195757,0.000005810922,0.00021054],"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":[0.000192641,0.0004056871,0.06549632,0.02072736,0.0003602632,0.001298897,0.006090315,0.0004324737,0.0004268565,0.003692427,0.00620598,0.8946708],"study_design_scores_gemma":[0.0009883684,0.0005308044,0.001265883,0.01349497,0.0004426986,0.005076833,0.001952782,0.004646833,0.00000129708,0.01866114,0.9522935,0.0006448726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008573728,0.9968522,0.0001778405,0.0012143,0.0002868383,0.0003930806,0.0000496777,0.000002732426,0.0001660258],"genre_scores_gemma":[0.01366529,0.98582,0.00005087099,0.0003745149,0.0000371252,0.000003046513,0.000002811955,0.00002135502,0.00002500231],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9460875,"threshold_uncertainty_score":0.403002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902905780695257,"score_gpt":0.2576455986013726,"score_spread":0.21861654079442,"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."}}