{"id":"W3154828147","doi":"10.15252/emmm.201911754","title":"Myeloid‐resident neuropilin‐1 promotes choroidal neovascularization while mitigating inflammation","year":2021,"lang":"en","type":"article","venue":"EMBO Molecular Medicine","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Hôpital Maisonneuve-Rosemont; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Foundation Fighting Blindness; Diabetes Canada; Heart and Stroke Foundation of Canada","keywords":"Neuropilin 1; Choroidal neovascularization; Macular degeneration; Angiogenesis; Inflammation; Cancer research; Neovascularization; Myeloid; Immunology; Medicine; Semaphorin; Vascular endothelial growth factor; VEGF receptors; Receptor; Internal medicine; 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":[0.000123716,0.00013677,0.0001415364,0.0001196501,0.00008967284,0.0001618253,0.00008019385,0.0001404971,0.000833876],"category_scores_gemma":[0.00009379293,0.00003936477,0.00007960269,0.00005183765,0.0001399899,0.0001293091,0.0001326926,0.0002828004,0.0001354092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001161647,"about_ca_system_score_gemma":0.0001375501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001603448,"about_ca_topic_score_gemma":0.0003462105,"domain_scores_codex":[0.9999471,0.00001443506,0.00000344996,0.0000101068,0.00001202768,0.00001290772],"domain_scores_gemma":[0.999953,0.000005319699,0.00001558952,0.00000306998,0.000005650668,0.00001737116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001569416,0.00003346738,0.000399205,0.00005698414,0.000003425775,0.00008266376,0.00001288553,0.00003863897,0.9927801,0.0001926636,0.00008532244,0.006157601],"study_design_scores_gemma":[0.00005150887,0.001618384,0.02828829,0.00002602386,0.00003515777,0.001695585,0.00008171714,0.001159533,0.9574627,0.0003223612,0.009250973,0.000007913889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904991,0.005067738,0.002020939,0.0003168777,0.00003013669,0.00002288892,0.00007598902,0.00005384956,0.001912508],"genre_scores_gemma":[0.9954937,0.001572919,0.001606142,0.00006872971,0.00001498716,0.00001133072,0.0000454461,0.000004793018,0.001182107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000833876,"threshold_uncertainty_score":0.002789557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003509841020817,"score_gpt":0.2471239255592177,"score_spread":0.2370888271490096,"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."}}