{"id":"W4394252437","doi":"10.6084/m9.figshare.22602436","title":"Additional file 2 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Gut microbiome; Microbiome; Biology; Zoology; 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":[0.0008307026,0.001224656,0.001229263,0.001738249,0.0008583884,0.001695832,0.001868813,0.001464071,0.4789042],"category_scores_gemma":[0.006145243,0.000443849,0.001132737,0.00268113,0.0003414866,0.001039672,0.001301394,0.001070066,0.08315704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006996445,"about_ca_system_score_gemma":0.001539746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009532394,"about_ca_topic_score_gemma":0.02181725,"domain_scores_codex":[0.9995605,0.00005078924,0.00005900843,0.0001688961,0.00007636157,0.00008445308],"domain_scores_gemma":[0.9975272,0.001418269,0.0002398353,0.0002510195,0.0003923198,0.0001713434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003969843,0.0001024664,0.007411907,0.004601835,0.0001699022,0.00008879232,0.00008512478,0.0007505858,0.0007382574,0.0005407141,0.979246,0.005867566],"study_design_scores_gemma":[0.00311959,0.0002075073,0.05846614,0.002341432,0.0003531603,0.0004432898,0.0003465967,0.001346149,0.001269857,0.004039205,0.9279392,0.0001279827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001219195,0.00001163583,0.00003455346,0.00001549691,0.000005869192,0.000009213487,0.9996138,0.00006390521,0.000123661],"genre_scores_gemma":[0.001492249,0.0000300656,0.0005767964,0.00008119291,0.000009304194,0.0002078043,0.9965172,0.0001027881,0.0009827006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4789042,"threshold_uncertainty_score":0.7432799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552305215414239,"score_gpt":0.2349953936534753,"score_spread":0.2194723414993329,"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."}}