{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002666054,0.0005306724,0.0007596384,0.00100187,0.0002630908,0.0009155331,0.0003545102,0.0007845901,0.004501928],"category_scores_gemma":[0.0004101234,0.0001336823,0.0005941262,0.0006053238,0.0002553614,0.0007976685,0.0005550753,0.001210975,0.0009657025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002843089,"about_ca_system_score_gemma":0.0006133161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005005556,"about_ca_topic_score_gemma":0.001203109,"domain_scores_codex":[0.9998165,0.00003946241,0.00002638468,0.00003278432,0.00005984033,0.00002507252],"domain_scores_gemma":[0.999894,0.00003585417,0.00002129969,0.000003924068,0.00003083633,0.00001394945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000521583,0.0003036082,0.0009955397,0.03363772,0.0003355512,0.0008629888,0.0003407315,0.0005942283,0.05083585,0.01180318,0.03202286,0.8677462],"study_design_scores_gemma":[0.00004968166,0.0006502693,0.003387882,0.004583039,0.0003248054,0.002044284,0.0002042769,0.0003070137,0.007637979,0.004155566,0.9766155,0.00003965378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003874609,0.9883161,0.001124258,0.001212489,0.0009071723,0.00002620365,0.0001440338,0.00003867158,0.004356477],"genre_scores_gemma":[0.0157345,0.9755519,0.002068026,0.001104262,0.0006695875,0.00004425216,0.0002218107,0.00001277881,0.004592831],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004501928,"threshold_uncertainty_score":0.01506048,"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."}}