{"id":"W4397020816","doi":"10.20517/mrr.2024.05","title":"Probiotics, prebiotics, synbiotics and other microbiome-based innovative therapeutics to mitigate obesity and enhance longevity via the gut-brain axis","year":2024,"lang":"en","type":"review","venue":"Microbiome Research Reports","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Islamic Development Bank","keywords":"Obesity; Longevity; Microbiome; Synbiotics; Disease; Gut flora; Medicine; Gut microbiome; Gut–brain axis; Population; Bioinformatics; Biology; Gerontology; Immunology; Internal medicine; Environmental health; Probiotic; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004973125,0.001033108,0.00147368,0.0007295498,0.0005864272,0.0004927534,0.0006493379,0.001129739,0.00001786022],"category_scores_gemma":[0.0003572482,0.0007305007,0.00031801,0.001887108,0.001602152,0.00001106465,0.001396627,0.001539335,0.00007083949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016303,"about_ca_system_score_gemma":0.001909553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001129846,"about_ca_topic_score_gemma":0.0002878726,"domain_scores_codex":[0.9934421,0.001074759,0.001387112,0.002172709,0.0004640906,0.00145922],"domain_scores_gemma":[0.9960274,0.0002159156,0.0005128203,0.001807446,0.001037908,0.000398479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001042556,0.0006582008,0.0002193699,0.04203423,0.001807415,0.000457804,0.0005790225,0.000001268882,0.7382913,0.00005413391,0.06523951,0.1505535],"study_design_scores_gemma":[0.0001404435,0.0005122179,0.00004481122,0.004551195,0.0002592587,0.0009320677,0.00003068592,0.000002665584,0.01683978,0.0000378802,0.9758599,0.0007891262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007289148,0.9841216,0.0002938475,0.002049701,0.0004727733,0.004845235,0.0007800695,0.00005773235,0.000089919],"genre_scores_gemma":[0.006828676,0.9839143,0.001591769,0.001884043,0.0005211504,0.0001378629,0.0008048305,0.0004064169,0.003910947],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9106203,"threshold_uncertainty_score":0.9995146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07078055340621496,"score_gpt":0.42354735502984,"score_spread":0.3527668016236251,"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."}}