{"id":"W4388636496","doi":"10.3390/bioengineering10111309","title":"Plant Cellulose as a Substrate for 3D Neural Stem Cell Culture","year":2023,"lang":"en","type":"article","venue":"Bioengineering","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Li Ka Shing Foundation","keywords":"Neural stem cell; Neural tissue engineering; Scaffold; Spinal cord injury; Nestin; Cellulose; Stem cell; 3D bioprinting; Cell biology; Decellularization; Mesenchymal stem cell; Tissue engineering; Glial fibrillary acidic protein; Biology; Materials science; Biomedical engineering; Neuroscience; Medicine; Spinal cord; Biochemistry; Immunology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003359218,0.0004726419,0.000231688,0.0004285825,0.0003060426,0.0004271255,0.0003890182,0.0003774581,0.001747281],"category_scores_gemma":[0.0002009254,0.0002093103,0.0002493618,0.0004004265,0.0002127167,0.0002577967,0.0002123127,0.0005040927,0.0007674829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003899645,"about_ca_system_score_gemma":0.0004150819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001750956,"about_ca_topic_score_gemma":0.004335508,"domain_scores_codex":[0.9997961,0.00002436651,0.00001999412,0.00005119457,0.00008440091,0.0000239597],"domain_scores_gemma":[0.9998097,0.00007242883,0.00003419759,0.00002956486,0.0000297052,0.00002446795],"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":[0.00002261277,0.00001950418,0.0001357511,0.00007908169,0.00000295375,0.0001479544,0.00002934208,0.0004321694,0.9962621,0.0002077547,0.0000724834,0.002588296],"study_design_scores_gemma":[0.000006051106,0.00006105137,0.0008586121,0.00001371175,0.000009257534,0.0002085775,0.00002154394,0.002215927,0.9903129,0.0000727185,0.006209891,0.00000985748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455648,0.005982614,0.123181,0.0003151722,0.0002497169,0.0005219246,0.003355875,0.0008596482,0.01996937],"genre_scores_gemma":[0.8291622,0.004563411,0.1539793,0.0001318264,0.00004191546,0.0006667948,0.003596248,0.0001920536,0.007666221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001750956,"threshold_uncertainty_score":0.005845249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410399271735465,"score_gpt":0.2506119095567209,"score_spread":0.2265079168393662,"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."}}