{"id":"W2955155692","doi":"10.1016/j.nano.2019.102045","title":"Multipotent stem cell-derived retinal ganglion cells in 3D culture as tools for neurotrophic factor gene delivery system development","year":2019,"lang":"en","type":"article","venue":"Nanomedicine Nanotechnology Biology and Medicine","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Gene delivery; Retinal ganglion cell; Neurite; Neurotrophic factors; Cell biology; Neuroprotection; Retina; Biology; Ciliary neurotrophic factor; Neuroscience; Cell culture; Transfection; Chemistry; In vitro; Receptor; Biochemistry; Genetics","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":[0.0003520148,0.0003576265,0.0003495955,0.0004763,0.0002549743,0.0006927674,0.0003850818,0.0005055284,0.0006302468],"category_scores_gemma":[0.0001791232,0.0003130465,0.0003812899,0.0003041574,0.0002699454,0.0002918243,0.000401412,0.0005234478,0.0004592258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000383385,"about_ca_system_score_gemma":0.0003731445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026636,"about_ca_topic_score_gemma":0.003006186,"domain_scores_codex":[0.9996809,0.00003320419,0.00002852363,0.00005410212,0.0001720384,0.00003123305],"domain_scores_gemma":[0.9998559,0.00004286597,0.00003853894,0.00002080712,0.00002433452,0.00001767225],"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":[0.00001183291,0.00000780966,0.00007244385,0.00003780171,0.000003386952,0.00005676571,0.00003891384,0.0003015783,0.9970394,0.0002688845,0.00003006501,0.002131087],"study_design_scores_gemma":[0.000003006239,0.0000386042,0.0004288149,0.000006465095,0.00001210334,0.0001279056,0.00001863568,0.001632537,0.9942071,0.00009167925,0.00342698,0.000006230758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7790698,0.007655915,0.2023457,0.0002220695,0.0002029389,0.0002976991,0.001213797,0.0005989,0.008393223],"genre_scores_gemma":[0.8779368,0.004212091,0.1108069,0.0001090554,0.00002719508,0.0003208704,0.0008166652,0.0001482814,0.005622005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001026636,"threshold_uncertainty_score":0.002781689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009024949674006076,"score_gpt":0.2308222974537175,"score_spread":0.2217973477797114,"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."}}