{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005786527,0.0002065445,0.0003606155,0.0002806102,0.0001916466,0.00004258247,0.0001291043,0.0002199204,0.00008506107],"category_scores_gemma":[0.00005287695,0.0001316389,0.00009532111,0.0002699647,0.000482057,0.00007880334,0.0001890575,0.0004594517,0.00005581858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000027166,"about_ca_system_score_gemma":0.00001598519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002937159,"about_ca_topic_score_gemma":0.000006555849,"domain_scores_codex":[0.9986017,0.0003952215,0.0002373241,0.0003857106,0.00007921965,0.0003008189],"domain_scores_gemma":[0.999245,0.0003915619,0.00005002458,0.0001689724,0.0001099532,0.0000344343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003503782,0.0000941188,0.0007808557,0.0007998764,0.0003755497,0.000002695111,0.0004745682,3.326062e-7,0.9722705,0.004261406,0.01604733,0.004542423],"study_design_scores_gemma":[0.001154084,0.001120732,0.008090492,0.0006265427,0.0003188075,0.00003098715,0.0003875606,0.00001232501,0.9688888,0.00007190346,0.01909094,0.0002067821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843109,0.01309709,0.00001233224,0.0004010879,0.0001915519,0.0006703139,0.0001922574,0.0000417906,0.00108266],"genre_scores_gemma":[0.9957792,0.0005552321,0.00001626885,0.00001192528,0.00003175632,0.00002761114,0.0003630983,0.00001671043,0.003198226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254185,"threshold_uncertainty_score":0.5368077,"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."}}