{"id":"W2552235278","doi":"10.15252/emmm.201606531","title":"Gut microbiota influences pathological angiogenesis in obesity‐driven choroidal neovascularization","year":2016,"lang":"en","type":"article","venue":"EMBO Molecular Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Polytechnique Montréal; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Foundation Fighting Blindness; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alcon Research Institute; Fondation de l'Avenir pour la Recherche Médicale Appliquée; Canadian Diabetes Association","keywords":"Choroidal neovascularization; Macular degeneration; Gut flora; Angiogenesis; Pathological; Dysbiosis; Neovascularization; Intestinal permeability; Microbiome; Medicine; Inflammation; Immunology; Biology; Physiology; Pathology; Internal medicine; Bioinformatics; Ophthalmology","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":[0.0003187994,0.0002344679,0.0002987109,0.000140779,0.00006259172,0.000008982059,0.0002695738,0.0002784439,0.0001088299],"category_scores_gemma":[0.0001988434,0.0001566762,0.0001114422,0.0002406778,0.0002245843,0.000005814173,0.0001211905,0.00008735734,0.00004308989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003886782,"about_ca_system_score_gemma":0.00008347401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005389838,"about_ca_topic_score_gemma":0.0000558157,"domain_scores_codex":[0.9983096,0.0001835269,0.0003676156,0.0005572347,0.0001706573,0.0004113916],"domain_scores_gemma":[0.9992164,0.00001506073,0.00009717252,0.0004439199,0.00008952149,0.0001379436],"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":[0.00003334767,0.00006347752,0.02415213,0.0000181257,0.00002764058,0.00006555445,0.00004674372,0.00001354752,0.9728803,0.0001047859,0.000605775,0.001988588],"study_design_scores_gemma":[0.003928479,0.0008813179,0.7335928,0.0003050776,0.00007421004,0.0001754546,0.00007615831,0.00001048197,0.2375588,0.0002349909,0.02254818,0.0006140118],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896183,0.002245155,0.005062266,0.00226646,0.00014584,0.0002852375,0.00001416912,0.00002239488,0.000340149],"genre_scores_gemma":[0.9963503,0.0005985249,0.0007635161,0.00170385,0.0002112207,0.00001805724,0.0001210691,0.00002698909,0.0002063994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7353215,"threshold_uncertainty_score":0.6389069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008694301155015013,"score_gpt":0.2554837427905009,"score_spread":0.2467894416354859,"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."}}