{"id":"W2612817584","doi":"10.1371/journal.pone.0177735","title":"The malleable gut microbiome of juvenile rainbow trout (Oncorhynchus mykiss): Diet-dependent shifts of bacterial community structures","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Skretting Aquaculture Research Centre; Natural Sciences and Engineering Research Council of Canada; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel; Dalhousie University","keywords":"Biology; Firmicutes; Rainbow trout; Microbiome; Juvenile; Bacteroidetes; Juvenile fish; Fusobacteria; Proteobacteria; Trout; Fish physiology; Plant protein; Zoology; Ecology; Food science; Fish <Actinopterygii>; Bacteria; Fishery; 16S ribosomal RNA; Bioinformatics; Genetics","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":[0.00009879692,0.0001877392,0.0001908799,0.0002044747,0.0002042335,0.0002143475,0.00007803732,0.000165804,0.0005783846],"category_scores_gemma":[0.0001102911,0.0001053734,0.0001809618,0.0001122817,0.0002236683,0.0001945909,0.0003742304,0.0002681183,0.000118487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000302026,"about_ca_system_score_gemma":0.000383023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004065042,"about_ca_topic_score_gemma":0.01124044,"domain_scores_codex":[0.9999256,0.00000582894,0.000005195503,0.00002903473,0.00001716289,0.00001709726],"domain_scores_gemma":[0.9999125,0.000006895395,0.00002899019,0.000005009894,0.00001468765,0.0000320026],"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":[0.0002652948,0.00001852965,0.01304945,0.00002921249,0.00001069687,0.00003088504,0.00007538912,0.00002148571,0.9856726,0.00001263651,0.00001852098,0.0007953438],"study_design_scores_gemma":[0.00001183949,0.0008942707,0.9287557,0.000007607581,0.0000407435,0.0001359402,0.0003084894,0.0002351741,0.06901716,0.00003896104,0.0005417998,0.00001230518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995847,0.00006755308,0.0001037089,0.00001084276,0.000002034904,0.000003583971,0.0001459996,0.000003627075,0.00007797433],"genre_scores_gemma":[0.9978101,0.0001227547,0.0004883714,0.00003807292,0.000002464928,0.00001945814,0.0004606073,0.000005707434,0.0010525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004065042,"threshold_uncertainty_score":0.008082747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460160941092629,"score_gpt":0.238317753574156,"score_spread":0.2037161441632297,"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."}}