{"id":"W4353086283","doi":"10.54097/hset.v36i.5775","title":"Effect of Different Diets on Human Gut Microbiome Health","year":2023,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Diet and metabolism studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Omnivore; Human health; Gut microbiome; Human nutrition; Microbiome; Gut flora; Biology; Dietary fiber; Mediterranean diet; Dietary fibre; Biotechnology; Food science; Environmental health; Medicine; Bioinformatics; Ecology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004453941,0.0002204581,0.0002488294,0.0004015337,0.000245801,0.0005510834,0.0000786942,0.0003581303,0.002162146],"category_scores_gemma":[0.0007823611,0.00009620107,0.0004117698,0.0003377725,0.0003198519,0.0002900635,0.0004098286,0.0003315949,0.0001661348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002497908,"about_ca_system_score_gemma":0.0002109299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009420499,"about_ca_topic_score_gemma":0.001260675,"domain_scores_codex":[0.9996456,0.0001683775,0.00002129785,0.00006689486,0.00005530673,0.00004249502],"domain_scores_gemma":[0.9997291,0.00009491855,0.00007259012,0.00002704763,0.0000362666,0.00004009296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01851765,0.00224049,0.2865397,0.004179321,0.002377742,0.001097754,0.002217968,0.0007792046,0.3054052,0.003585555,0.00285461,0.3702049],"study_design_scores_gemma":[0.00009555319,0.005124779,0.9390149,0.0004175749,0.0008023088,0.0005438761,0.00142975,0.000335852,0.02793523,0.002472407,0.02177999,0.00004768899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508525,0.04028771,0.001007118,0.00122561,0.0002359985,0.00003395908,0.000462425,0.00002166932,0.005873059],"genre_scores_gemma":[0.9806467,0.01467655,0.001578764,0.0007506243,0.00006893816,0.0000333603,0.0002324798,0.00001258257,0.001999805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002162146,"threshold_uncertainty_score":0.007233143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166755969378374,"score_gpt":0.2994970195952719,"score_spread":0.2878294599014881,"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."}}