{"id":"W2163151823","doi":"10.1017/s0007114511005137","title":"Combination of <i>Lactobacillus helveticus R0052</i> and <i>Bifidobacterium longum R0175</i> reduces post-myocardial infarction depression symptoms and restores intestinal permeability in a rat model","year":2011,"lang":"en","type":"article","venue":"British Journal Of Nutrition","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lallemand (Canada); Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lactobacillus helveticus; Intestinal permeability; Medicine; Myocardial infarction; Bifidobacterium longum; Bifidobacterium; Internal medicine; Lactobacillus; Endocrinology; Cardiology; Food science; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003703625,0.0001069538,0.0002192488,0.00009598423,0.00006230488,0.00002934563,0.00007028595,0.0001494688,0.00000267365],"category_scores_gemma":[0.0001366002,0.0001214766,0.00006059805,0.00006273684,0.0001458739,0.00004287447,0.00005078813,0.0001597627,9.591796e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003154394,"about_ca_system_score_gemma":0.0000755557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001406201,"about_ca_topic_score_gemma":0.0001267003,"domain_scores_codex":[0.9989594,0.0001327497,0.0004427476,0.000198042,0.0001178747,0.0001492036],"domain_scores_gemma":[0.9991583,0.00001373615,0.0002823185,0.00008173622,0.0003742092,0.00008972223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007782913,0.0005481748,0.01882301,0.0001547201,0.00001379493,0.00001458964,0.0001979879,0.000006599733,0.9717364,0.000006989624,0.0002345064,0.007484955],"study_design_scores_gemma":[0.005710713,0.002893528,0.7032247,0.001485149,0.00007686413,0.006155031,0.0004066069,0.0002045359,0.2783469,0.0009613229,0.0001997197,0.0003350035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966637,0.002653833,0.0001776331,0.00009358081,0.0001370931,0.0001907383,0.00002944969,0.000003302836,0.00005062644],"genre_scores_gemma":[0.9959012,0.002914915,0.0009652964,0.00006607268,0.00008990389,0.000005544674,0.00004196038,0.00001046544,0.000004693614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6933895,"threshold_uncertainty_score":0.4953672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061624827911899,"score_gpt":0.2272517503849235,"score_spread":0.2166355021058045,"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."}}