{"id":"W4394223271","doi":"10.6084/m9.figshare.22618262","title":"Additional file 7 of The impact of culture systems on the gut microbiota and gut metabolome of bighead carp (Hypophthalmichthys nobilis)","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hypophthalmichthys; Metabolome; Bighead carp; Biology; Gut flora; Zoology; Carp; Fishery; Fish <Actinopterygii>; Metabolomics; Bioinformatics; Silver carp; Immunology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001362516,0.001547561,0.001494154,0.00234557,0.0008265703,0.002031316,0.002020731,0.001854304,0.4863145],"category_scores_gemma":[0.01095201,0.0005629945,0.001558564,0.003427943,0.0003492241,0.001345412,0.001396179,0.001319498,0.1068986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084764,"about_ca_system_score_gemma":0.002073153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009643835,"about_ca_topic_score_gemma":0.02094612,"domain_scores_codex":[0.9992303,0.0001132302,0.0001163298,0.0002717178,0.000152247,0.0001161381],"domain_scores_gemma":[0.9940789,0.003807153,0.0004239515,0.0005409934,0.0008984526,0.0002504874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003079805,0.0000843544,0.00374712,0.005395748,0.0001566234,0.00004752829,0.00005057402,0.0006000932,0.000371437,0.0004285688,0.9844966,0.004313354],"study_design_scores_gemma":[0.002923665,0.0001706087,0.03477992,0.003081998,0.0003954156,0.0002385952,0.0002322217,0.001233471,0.001064498,0.004191995,0.9515703,0.0001173056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006129436,0.00001699867,0.00002790081,0.00001703119,0.000005949332,0.000007727947,0.9996842,0.00006669672,0.0001121746],"genre_scores_gemma":[0.001113484,0.00004918567,0.000486243,0.00008942435,0.000009528005,0.0002265626,0.9967764,0.0001159302,0.00113323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4863145,"threshold_uncertainty_score":0.73271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130183458021512,"score_gpt":0.2482421982370247,"score_spread":0.2269403636568096,"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."}}