{"id":"W4402927012","doi":"10.1155/2024/5545159","title":"Effect of Different Feeding Habits on Metabolomics Profiles and Microbiota Composition and Functions of Tilapia Gut","year":2024,"lang":"en","type":"article","venue":"Aquaculture Research","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences; Guangzhou Municipal Science and Technology Project; Basic and Applied Basic Research Foundation of Guangdong Province; Guangzhou Science and Technology Program key projects; National Natural Science Foundation of China","keywords":"Biology; Oreochromis; Tilapia; Gut flora; Omnivore; Metagenomics; Food science; Nile tilapia; Bacteroidetes; Firmicutes; Metabolomics; Bacteroides; Biochemistry; Microbiology; Bacteria; 16S ribosomal RNA; Ecology; Gene; Fish <Actinopterygii>; Fishery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001555497,0.0002992144,0.0003544083,0.000323571,0.0002060383,0.0003576417,0.0001027891,0.0002253618,0.000871582],"category_scores_gemma":[0.0003583376,0.000214772,0.0002804232,0.0001770285,0.0003459321,0.0002351578,0.00042123,0.0003751252,0.0001191611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002903659,"about_ca_system_score_gemma":0.0002249764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697025,"about_ca_topic_score_gemma":0.003071296,"domain_scores_codex":[0.9998276,0.00003069246,0.00002093339,0.00005007982,0.00002361672,0.00004697045],"domain_scores_gemma":[0.9997979,0.00003101716,0.00005153565,0.0000169466,0.00002274759,0.00007990551],"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":[0.003534128,0.0001383729,0.02477831,0.00006778853,0.00004908906,0.0001422734,0.0001995308,0.00005778393,0.9681245,0.00001999423,0.00006500025,0.002823231],"study_design_scores_gemma":[0.00005934932,0.002998254,0.8663612,0.00001856728,0.0001458064,0.0002357296,0.0006929972,0.0009089102,0.127638,0.00009666485,0.000801936,0.00004253953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996426,0.00005614163,0.00006100845,0.00001410323,0.000003808017,0.000004649778,0.0001041673,0.000004315756,0.000109195],"genre_scores_gemma":[0.9984751,0.0001010365,0.0003640717,0.00007282448,0.000003197482,0.0000415722,0.0002856661,0.000008865637,0.0006475924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001697025,"threshold_uncertainty_score":0.003374279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756625479792311,"score_gpt":0.3074866301550332,"score_spread":0.2899203753571101,"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."}}