{"id":"W4394260520","doi":"10.6084/m9.figshare.22618256","title":"Additional file 5 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; Bighead carp; Biology; Metabolome; Zoology; Gut flora; Fishery; Carp; Fish <Actinopterygii>; Silver carp; Bioinformatics; Immunology; Metabolomics","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":[0.001484322,0.001530239,0.001541474,0.002603455,0.0008553022,0.002122313,0.002023354,0.001859627,0.521192],"category_scores_gemma":[0.01278965,0.0005722372,0.001495074,0.003568735,0.0003419805,0.0014356,0.001506833,0.001229116,0.1006077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010403,"about_ca_system_score_gemma":0.00206653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009650527,"about_ca_topic_score_gemma":0.02059897,"domain_scores_codex":[0.9991801,0.00012661,0.0001255195,0.0002930486,0.0001559835,0.000118577],"domain_scores_gemma":[0.9930507,0.004672738,0.0004800831,0.0005548362,0.0009732828,0.0002683917],"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":[0.000313816,0.00008361321,0.004088537,0.006374755,0.0001702686,0.00005641637,0.00006793584,0.000612055,0.0003452784,0.0005301943,0.9826204,0.004736672],"study_design_scores_gemma":[0.002897724,0.000162597,0.03635885,0.0035441,0.0004198985,0.0002726483,0.0002703403,0.001246254,0.00102629,0.00497171,0.9487034,0.0001261892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006384376,0.00001759079,0.00003307988,0.00001812275,0.000005411051,0.000008300089,0.9996656,0.00006981711,0.0001182575],"genre_scores_gemma":[0.001289027,0.00005395406,0.0006124978,0.00009495268,0.00001042712,0.0002751488,0.9962342,0.00014741,0.001282355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.521192,"threshold_uncertainty_score":0.6829615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127345035610812,"score_gpt":0.2481928499504979,"score_spread":0.2269193995943898,"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."}}