{"id":"W2957562961","doi":"10.1016/j.exer.2019.107728","title":"Ferroportin-mediated iron export from vascular endothelial cells in retina and brain","year":2019,"lang":"en","type":"article","venue":"Experimental Eye Research","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; Kidney Research UK; Research to Prevent Blindness; Genome British Columbia; Paul MacKall and Evanina Bell MacKall Trust; National Eye Institute; British Heart Foundation; F. M. Kirby Foundation","keywords":"Retina; Retinal; Ferroportin; Ferritin; Blood–retinal barrier; Biology; Macular degeneration; Pathology; Cell biology; Medicine; Immunology; Hepcidin; Neuroscience; Endocrinology; Biochemistry; Ophthalmology; Inflammation; Diabetic retinopathy","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":[0.0002650953,0.0002118229,0.0002387032,0.0004927654,0.0006800149,0.0006625114,0.0004886527,0.0005254784,0.001048139],"category_scores_gemma":[0.0002308923,0.0001917614,0.0002378078,0.0002060153,0.0004334271,0.0008618836,0.0003182267,0.0008404836,0.0001886934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184674,"about_ca_system_score_gemma":0.0005496826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006992258,"about_ca_topic_score_gemma":0.006287036,"domain_scores_codex":[0.9998648,0.00002471171,0.000007264294,0.00003043372,0.00002204076,0.00005069494],"domain_scores_gemma":[0.9998978,0.00001382786,0.00001730527,0.00001100361,0.00003237431,0.00002765094],"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":[0.001267003,0.0000671128,0.001167569,0.0001408619,0.00002527556,0.0005072072,0.0002634327,0.00007885228,0.9873067,0.002134987,0.000481222,0.00655976],"study_design_scores_gemma":[0.0002151661,0.0005222762,0.0554486,0.00005918907,0.0001042688,0.002186538,0.001468847,0.00321179,0.9253199,0.002827427,0.008601341,0.00003458403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848768,0.007472915,0.003182243,0.0006856028,0.0000677174,0.00001456431,0.0001819063,0.00004963027,0.003468656],"genre_scores_gemma":[0.989375,0.002108995,0.002160626,0.0001185134,0.00002574301,0.00002361661,0.0001988102,0.00001682103,0.00597194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006992258,"threshold_uncertainty_score":0.01390308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481396349209992,"score_gpt":0.3556990002520137,"score_spread":0.3308850367599138,"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."}}