{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002228502,0.0002117468,0.0002313963,0.0002944564,0.0002046688,0.0004227597,0.000094612,0.0003108822,0.001415559],"category_scores_gemma":[0.0002251476,0.0002252475,0.0002473246,0.0001279,0.0003641737,0.0002456829,0.0003642949,0.0007444127,0.0002014282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003317929,"about_ca_system_score_gemma":0.0003405866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006779197,"about_ca_topic_score_gemma":0.001065085,"domain_scores_codex":[0.9998073,0.00006249613,0.00001096787,0.00003063645,0.00003010552,0.00005848626],"domain_scores_gemma":[0.9998466,0.00001448673,0.00004498802,0.0000108064,0.00001256,0.00007067579],"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":[0.003365378,0.0004120802,0.004849317,0.00007000707,0.00002084904,0.0001913665,0.00008361044,0.0001093928,0.9859164,0.000323689,0.0001205502,0.004537443],"study_design_scores_gemma":[0.0006465028,0.006552397,0.4341546,0.00009809529,0.0002632467,0.001200024,0.000823985,0.004512381,0.5443481,0.001514578,0.005839472,0.0000466554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982369,0.0006883151,0.0002926243,0.0001044468,0.00002132446,0.00001256443,0.00006066888,0.00001316863,0.0005700317],"genre_scores_gemma":[0.9983258,0.0004563148,0.0003346424,0.00007019758,0.00000794478,0.00002304008,0.00003250455,0.000007528053,0.000742003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001415559,"threshold_uncertainty_score":0.00473547,"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."}}