{"id":"W4213251634","doi":"10.1101/2022.02.18.480968","title":"Self-organization, quality control, and preclinical studies of human iPSC-derived retinal sheets for tissue-transplantation therapy","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Research Center Network for Realization of Regenerative Medicine; Japan Agency for Medical Research and Development","keywords":"Transplantation; Retinal; Retina; Induced pluripotent stem cell; Biology; Retinal regeneration; Pathology; Retinal degeneration; Neuroscience; Anatomy; Cell biology; Medicine; Embryonic stem cell; Surgery; Gene","routes":{"ca_aff":true,"ca_fund":false,"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"],"consensus_categories":[],"category_scores_codex":[0.0007653711,0.0002993489,0.0004527573,0.0000649323,0.0002076569,0.00003736029,0.000238091,0.000281446,0.00001867636],"category_scores_gemma":[0.0003157085,0.0003168548,0.00007859262,0.0001170923,0.000132207,0.000007222191,0.0001605206,0.0001679385,5.135273e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002991154,"about_ca_system_score_gemma":0.0002407849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009056116,"about_ca_topic_score_gemma":0.000002506697,"domain_scores_codex":[0.9981248,0.0002166757,0.0005859497,0.0006583325,0.0002001829,0.0002140181],"domain_scores_gemma":[0.9983649,0.00007537979,0.0004483393,0.0003933682,0.0006448784,0.00007314033],"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":[0.0002634047,0.0001241938,0.03740641,0.000761868,0.0003886794,0.000001999435,0.00005315715,0.00000954355,0.9607145,0.000135881,0.0001374814,0.000002934463],"study_design_scores_gemma":[0.002499884,0.0004731615,0.3447012,0.00008025704,0.0001481228,2.334391e-8,0.00002782098,0.000006759627,0.6493256,0.00001018004,0.002174285,0.000552694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934077,0.003801117,0.001221649,0.0001502197,0.0002773096,0.0009145468,0.0001671535,0.00005421872,0.000006074496],"genre_scores_gemma":[0.9893149,0.006933765,0.003232137,0.0001246767,0.000132019,0.0001846578,0.00001447251,0.0000586151,0.000004810224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3113889,"threshold_uncertainty_score":0.9999284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777128625594207,"score_gpt":0.3136747894598082,"score_spread":0.2859035032038661,"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."}}