{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001726799,0.0004337936,0.0002457731,0.0004620056,0.0002608626,0.0003794699,0.0002611594,0.0003339078,0.001115491],"category_scores_gemma":[0.0005917464,0.0001388683,0.0003293617,0.0002784968,0.000358425,0.0002019241,0.0002251811,0.0005231787,0.0003314767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486994,"about_ca_system_score_gemma":0.0002233035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007123374,"about_ca_topic_score_gemma":0.0005480938,"domain_scores_codex":[0.9993867,0.0001422528,0.00007346742,0.00009103944,0.0002538728,0.00005258733],"domain_scores_gemma":[0.9993962,0.0001326818,0.0001063622,0.0001314124,0.0001818244,0.00005144646],"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":[0.00008319069,0.0001281163,0.0003151051,0.00003426688,0.000007942514,0.00004510013,0.00004761393,0.0004163868,0.9960005,0.00009594367,0.00008618809,0.002739533],"study_design_scores_gemma":[0.000007930542,0.0003761615,0.001553724,0.000006058591,0.00001624959,0.00007659686,0.00001532044,0.0006856506,0.9959171,0.00003090949,0.001310498,0.000003791163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518046,0.00252217,0.04017381,0.0001167815,0.0001122373,0.0006452868,0.001173476,0.000324037,0.003127688],"genre_scores_gemma":[0.960851,0.001505261,0.03051171,0.0001096914,0.00003150801,0.000599372,0.002523423,0.0001650722,0.003702943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001726799,"threshold_uncertainty_score":0.009132326,"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."}}