{"id":"W4387823228","doi":"10.1101/2023.10.19.562811","title":"Sub-retinal transplantation of human iPSC-derived retinal sheets: A promising approach for the treatment of macular degeneration","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Health Canada; Bausch Health; Stem Cell Network","keywords":"Induced pluripotent stem cell; Retinal; Retina; Transplantation; Biology; Macular degeneration; Neuroscience; Retinal regeneration; Retinal degeneration; Progenitor cell; Cell biology; Stem cell; Embryonic stem cell; Ophthalmology; Medicine; Genetics; Internal medicine; Biochemistry","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":[0.0002809806,0.0003499116,0.0002742823,0.0004795403,0.000141751,0.0005053207,0.0002261327,0.0004733652,0.001001818],"category_scores_gemma":[0.0001438637,0.0001237927,0.0003866479,0.000194815,0.0001941402,0.0002630988,0.0002607432,0.0008281755,0.0004250726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457205,"about_ca_system_score_gemma":0.000179428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002154971,"about_ca_topic_score_gemma":0.0002918864,"domain_scores_codex":[0.9998924,0.00001428339,0.00001067651,0.000024862,0.00004253876,0.00001519319],"domain_scores_gemma":[0.9999201,0.00001403771,0.00001895754,0.00001109632,0.00002247314,0.00001323486],"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":[0.0000983533,0.0001155092,0.0004342552,0.0005110013,0.00004102698,0.0004561369,0.00006703046,0.0006858019,0.9456111,0.001005479,0.001479945,0.0494942],"study_design_scores_gemma":[0.00006751753,0.0009954562,0.005194319,0.000234645,0.0002776038,0.001758625,0.000131245,0.005590161,0.9170247,0.001347674,0.06734099,0.00003706916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7494341,0.1004145,0.1192671,0.002119926,0.001591232,0.0006161681,0.002162239,0.00181636,0.02257842],"genre_scores_gemma":[0.9329554,0.03654137,0.02243007,0.0008278669,0.0002266866,0.000234108,0.001182194,0.0001321995,0.005470053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001001818,"threshold_uncertainty_score":0.00335139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944817917747215,"score_gpt":0.2673057643892851,"score_spread":0.2478575852118129,"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."}}