{"id":"W4409402140","doi":"10.1002/imt2.70028","title":"Enhancing human gut health: Global innovations in dysbiosis management","year":2025,"lang":"en","type":"letter","venue":"iMeta","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McMaster University","funders":"National Natural Science Foundation of China","keywords":"Dysbiosis; Business; Human health; Gut flora; Knowledge management; Medicine; Computer science; Environmental health; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002228091,0.0002481682,0.0003200808,0.000173449,0.0001234433,0.00003342067,0.0003136334,0.0004891618,0.000031209],"category_scores_gemma":[0.00001093862,0.0002715943,0.00009680648,0.0003784948,0.00003366474,0.000001763572,0.0002317738,0.0004483397,0.00002490542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623661,"about_ca_system_score_gemma":0.0002871538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004115268,"about_ca_topic_score_gemma":0.0006816346,"domain_scores_codex":[0.9982852,0.00008988752,0.0004968116,0.0005465857,0.000108005,0.0004734803],"domain_scores_gemma":[0.9991881,0.000005037103,0.0001636063,0.0005563922,0.00005316732,0.00003375957],"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":[0.000003166077,0.00003046207,0.0002184848,0.0004637071,0.00009383,0.00001886404,0.000008710127,5.569568e-7,0.01673811,0.0002240227,0.981472,0.0007280717],"study_design_scores_gemma":[0.0003152408,0.00006693333,0.003360453,0.000173555,0.00002529185,0.000004692803,0.00001205687,3.08244e-7,0.001389885,0.0001285446,0.9942906,0.0002323622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01203402,0.003194618,0.001113189,0.9573908,0.001221448,0.001421783,0.0005266178,0.00005397222,0.02304353],"genre_scores_gemma":[0.01094874,0.0003747342,0.002404264,0.9637221,0.000966021,0.00006641181,0.004818104,0.00003390919,0.0166657],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01534823,"threshold_uncertainty_score":0.9999736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151103709095359,"score_gpt":0.3236883742086102,"score_spread":0.3085780032990743,"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."}}