{"id":"W2889887734","doi":"10.1093/gigascience/giy111","title":"Metabolomics investigation of dietary effects on flesh quality in grass carp (<i>Ctenopharyngodon idellus</i>)","year":2018,"lang":"en","type":"article","venue":"GigaScience","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; Earmarked Fund for China Agriculture Research System; China Scholarship Council; National Natural Science Foundation of China; McGill University","keywords":"Grass carp; Flesh; Metabolomics; Food science; Biology; Quality (philosophy); Fish <Actinopterygii>; Fishery; Bioinformatics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006010652,0.0001198375,0.0002029034,0.0000249146,0.0001280569,0.00002330391,0.0003079947,0.00007876476,0.00002469546],"category_scores_gemma":[0.0001550128,0.00004874421,0.00006372228,0.0008287014,0.0003421022,0.0001992579,0.00005133975,0.0001070263,0.00003216546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002298505,"about_ca_system_score_gemma":0.00001091764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003810367,"about_ca_topic_score_gemma":0.000849555,"domain_scores_codex":[0.9986675,0.0001808041,0.0002695829,0.0003327224,0.0003156998,0.0002336581],"domain_scores_gemma":[0.9993923,0.0002079543,0.0001244958,0.00007594088,0.00009576233,0.0001035901],"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":[0.00003135265,0.00004588311,0.02796335,0.00001265949,0.000001833615,0.000001261255,0.0001818867,0.000001261255,0.9619852,0.001155462,0.0002907248,0.00832909],"study_design_scores_gemma":[0.0001600246,0.0003131361,0.7188435,0.00003764967,0.000003657849,9.630553e-7,0.00007901591,0.00005206821,0.2763563,0.003392247,0.0006446323,0.0001167637],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974138,0.00007547568,0.000009365152,0.001220514,0.0001214103,0.0001796673,0.00001974847,0.00003353244,0.0009265547],"genre_scores_gemma":[0.998068,0.00002732155,0.0002348277,0.001425645,0.0001696065,0.000008601401,0.00002021812,6.149604e-7,0.00004518986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6908802,"threshold_uncertainty_score":0.1987731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0309748905729756,"score_gpt":0.2599074644378891,"score_spread":0.2289325738649135,"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."}}