{"id":"W6977506712","doi":"10.6084/m9.figshare.19766583","title":"Additional file 13 of Elucidating the role of the gut microbiota in the physiological effects of dietary fiber","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Random forest; Dietary fiber; Table (database); Gut flora; Fiber","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":[0.002083943,0.001409697,0.001675844,0.002003722,0.001043207,0.002155645,0.002448718,0.001641527,0.8901957],"category_scores_gemma":[0.03013645,0.0007456555,0.001192398,0.003126639,0.0003726352,0.002017292,0.001318156,0.001281275,0.259499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108607,"about_ca_system_score_gemma":0.001796359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007010325,"about_ca_topic_score_gemma":0.01336666,"domain_scores_codex":[0.9991055,0.0001885703,0.0001237874,0.0002681208,0.0001937269,0.0001202812],"domain_scores_gemma":[0.9763583,0.01869682,0.0008531989,0.001349728,0.002266743,0.0004753275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003238468,0.00007935813,0.002036912,0.002707315,0.00006180364,0.00005423033,0.00004772305,0.0005004416,0.0001843894,0.0005618632,0.9859775,0.007464522],"study_design_scores_gemma":[0.005156913,0.0002868219,0.02550352,0.003717924,0.0002725257,0.000441887,0.0004425902,0.003098453,0.00162305,0.01550218,0.9437461,0.0002080237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001188281,0.00002244501,0.0003752334,0.00007815207,0.00003081845,0.00004832087,0.9982353,0.000461802,0.0006290884],"genre_scores_gemma":[0.006364595,0.0001641242,0.005632932,0.0006821806,0.0001407765,0.001636287,0.9735138,0.002103598,0.009761754],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8901957,"threshold_uncertainty_score":0.1566224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018651743435575,"score_gpt":0.2188754004870657,"score_spread":0.2086888830527099,"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."}}