{"id":"W3188592439","doi":"10.1159/000514690","title":"In situ Tissue Regeneration in the Cornea from Bench to Bedside","year":2021,"lang":"en","type":"review","venue":"Cells Tissues Organs","topic":"Corneal Surgery and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Cornea; Regeneration (biology); Medicine; Corneal epithelium; Extracellular matrix; Corneal transplantation; Stroma; Regenerative medicine; Keratitis; Tissue engineering; Corneal Diseases; Transplantation; Ophthalmology; Pathology; Surgery; Stem cell; Biology; Biomedical engineering; Cell biology; Immunohistochemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002274724,0.0003939636,0.00157103,0.0002071351,0.0000417317,0.00005082528,0.0001936478,0.0003059445,0.001242128],"category_scores_gemma":[0.00007368717,0.0002796916,0.0001639849,0.0009138304,0.00002218129,0.00006118474,0.00007123543,0.0004007422,0.0008498549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000230875,"about_ca_system_score_gemma":0.0002354379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094695,"about_ca_topic_score_gemma":0.002330342,"domain_scores_codex":[0.9978916,0.000282291,0.0006424509,0.0005911152,0.0002808668,0.000311691],"domain_scores_gemma":[0.9986852,0.0003398305,0.0001247533,0.0006921709,0.00003539702,0.0001226047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001198354,0.0005361018,0.0001891324,0.001530255,0.0001242309,0.006207593,0.002245644,0.000001931642,0.0004890097,0.00003458931,0.01061947,0.9780101],"study_design_scores_gemma":[0.0002430325,0.0000810568,0.0001133787,0.005412131,0.000487027,0.00006164059,0.00007802878,3.620131e-7,0.004211365,0.00001959527,0.9890538,0.0002385615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002798796,0.9935104,0.0000107174,0.0004970527,0.0005117619,0.001328979,0.00006740707,0.00002144208,0.001253432],"genre_scores_gemma":[0.00221017,0.9901218,0.0001892659,0.0004497834,0.0004811882,0.0001395067,0.001792549,0.00005886422,0.004556873],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9784344,"threshold_uncertainty_score":0.9999655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04749105921342926,"score_gpt":0.3461660413832046,"score_spread":0.2986749821697753,"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."}}