{"id":"W3193547604","doi":"10.3390/biom11081250","title":"3D Bioprinting Mesenchymal Stem Cell-Derived Neural Tissues Using a Fibrin-Based Bioink","year":2021,"lang":"en","type":"article","venue":"Biomolecules","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Michael Smith Health Research BC; Innovate BC","keywords":"Mesenchymal stem cell; Basic fibroblast growth factor; Neurotrophic factors; Neural tissue engineering; 3D bioprinting; Neural stem cell; Stem cell; Regenerative medicine; Neural development; Cell biology; Tissue engineering; Biology; Chemistry; Growth factor; Biomedical engineering; Medicine; Regeneration (biology); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002109254,0.000258395,0.0002558736,0.0001868753,0.0001212832,0.0001722073,0.0003037639,0.000160925,0.0001834318],"category_scores_gemma":[0.00009198217,0.0002675393,0.0001193753,0.0006564829,0.0001977042,0.00007090058,0.0002126548,0.0002541285,0.0001073277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009437343,"about_ca_system_score_gemma":0.0001087936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006227983,"about_ca_topic_score_gemma":0.000007335137,"domain_scores_codex":[0.9979916,0.0001037674,0.0003403107,0.0004038707,0.0004948814,0.0006655768],"domain_scores_gemma":[0.9990315,0.0001522295,0.00004302487,0.0004225383,0.0001206099,0.0002300697],"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":[0.000004801484,0.0000307816,0.0006108184,0.0002419282,0.00002857486,0.0002832837,0.00006889575,0.001971711,0.9696863,0.00002655128,0.0000900333,0.02695631],"study_design_scores_gemma":[0.0002569477,0.00001866507,0.0005847136,0.00008534362,0.00001132686,0.00001709325,0.00008101726,0.2716926,0.7251546,0.000006188456,0.001840857,0.0002506665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746631,0.001681884,0.02087411,0.0002413768,0.0003777951,0.0001406823,0.00001490274,0.0005329714,0.001473122],"genre_scores_gemma":[0.9705424,0.00002689301,0.02900507,0.00004850296,0.0001466678,0.000008314427,0.00001798038,0.00007303846,0.0001311172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2697209,"threshold_uncertainty_score":0.9999777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810325215188266,"score_gpt":0.2739562097966277,"score_spread":0.245852957644745,"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."}}