{"id":"W2980764328","doi":"10.1080/02713683.2019.1681004","title":"Vascular Regeneration for Ischemic Retinopathies: Hope from Cell Therapies","year":2019,"lang":"en","type":"article","venue":"Current Eye Research","topic":"Retinopathy of Prematurity Studies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Queen's University; Science Foundation Ireland; Queen's University Belfast; Sight Research UK; British Heart Foundation; Juvenile Diabetes Research Foundation International","keywords":"Medicine; Retinopathy of prematurity; Progenitor cell; Retina; Retinal; Optic nerve; Neovascularization; Diabetic retinopathy; Ischemia; Central retinal vein occlusion; Stem-cell therapy; Stem cell; Pathology; Mesenchymal stem cell; Neuroscience; Ophthalmology; Angiogenesis; Biology; Macular edema; Internal medicine; Cell biology; Diabetes mellitus; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533106,0.0001888004,0.0003957754,0.0001922427,0.0002042548,0.00006964078,0.0002315678,0.0001259013,0.0001795614],"category_scores_gemma":[0.0005200952,0.0001551225,0.0001899076,0.0002459721,0.0001508898,0.0001091193,0.0001587522,0.0006338735,0.0005277143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256182,"about_ca_system_score_gemma":0.0001472637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002892816,"about_ca_topic_score_gemma":0.000004078748,"domain_scores_codex":[0.997418,0.0002089147,0.0002907253,0.0005645815,0.0009838809,0.0005338982],"domain_scores_gemma":[0.9980046,0.0003949813,0.00006548964,0.0007102813,0.0006962719,0.0001284455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006043751,0.0005810796,0.04766101,0.002448925,0.000206794,0.000006549659,0.006922092,0.000002994408,0.8083322,0.0002715924,0.09929773,0.03366467],"study_design_scores_gemma":[0.00495248,0.0009829976,0.02615009,0.001221283,0.0001228539,0.000002027066,0.002911563,0.001109112,0.3723966,0.001203203,0.5884511,0.0004966691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420435,0.05081762,0.0002258699,0.001600191,0.0005246838,0.002057442,0.00003469066,0.0000721013,0.002623938],"genre_scores_gemma":[0.9873897,0.00665945,0.001652995,0.00003701216,0.0009619648,0.0002815535,0.0002225647,0.00005331709,0.00274141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4891534,"threshold_uncertainty_score":0.6782876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0774316704710113,"score_gpt":0.3946414044368032,"score_spread":0.3172097339657919,"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."}}