{"id":"W4394074861","doi":"10.6084/m9.figshare.22618265","title":"Additional file 8 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; Metabolomics; Silver carp; Fish <Actinopterygii>; Bioinformatics","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":[0.001383692,0.001845226,0.001639479,0.002338195,0.000844329,0.002230986,0.002155134,0.002016635,0.4175465],"category_scores_gemma":[0.01003614,0.0005871642,0.001738967,0.003162969,0.0003685821,0.001300351,0.001438124,0.001438415,0.1092619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033632,"about_ca_system_score_gemma":0.001992254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00824059,"about_ca_topic_score_gemma":0.0185655,"domain_scores_codex":[0.9992024,0.0001228638,0.0001097214,0.000294598,0.0001509264,0.0001195049],"domain_scores_gemma":[0.9950625,0.003086616,0.0003480262,0.000511591,0.0007526656,0.0002385811],"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":[0.0003549186,0.00009538596,0.003838673,0.005140592,0.0001864233,0.00005980325,0.00005034892,0.0006822679,0.0004578687,0.0004375249,0.9842154,0.004480714],"study_design_scores_gemma":[0.002819535,0.0001742165,0.03010928,0.002523908,0.0004172292,0.0002632287,0.000210761,0.001396955,0.001251542,0.004437893,0.9562735,0.0001220427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007345005,0.00002144681,0.00003564429,0.00001953177,0.000007327573,0.000008345295,0.9996156,0.00009426074,0.0001244671],"genre_scores_gemma":[0.0009832059,0.00004598982,0.0004707193,0.00007896718,0.000008762733,0.000204697,0.99712,0.0001183095,0.0009693312],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4175465,"threshold_uncertainty_score":0.8307992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127910315060262,"score_gpt":0.2481979007564876,"score_spread":0.2269187976058849,"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."}}