{"id":"W3159897359","doi":"10.1016/j.msec.2021.112131","title":"A tuned gelatin methacryloyl (GelMA) hydrogel facilitates myelination of dorsal root ganglia neurons in vitro","year":2021,"lang":"en","type":"article","venue":"Materials Science and Engineering C","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Alberta Children's Hospital","funders":"Institute of Population and Public Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Gelatin; Neurite; Materials science; Axon; Viability assay; Biophysics; Self-healing hydrogels; Remyelination; Neural tissue engineering; Tissue engineering; Schwann cell; Myelin; Biomedical engineering; Cell biology; In vitro; Chemistry; Neuroscience; Biology; Biochemistry; Polymer chemistry; Medicine; Central nervous system","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":[0.0001266302,0.0002429179,0.0001050667,0.0001180493,0.00008165275,0.000181529,0.0001625632,0.0002594341,0.001001125],"category_scores_gemma":[0.0001267291,0.0001198726,0.0001426473,0.00006570987,0.0001847601,0.0002425397,0.0001611804,0.0002605548,0.0001591052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001634401,"about_ca_system_score_gemma":0.0001204352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004724208,"about_ca_topic_score_gemma":0.0008976622,"domain_scores_codex":[0.9999225,0.000007255968,0.000006263787,0.00002378882,0.00001580664,0.00002421442],"domain_scores_gemma":[0.9999074,0.00002399296,0.00003395779,0.000007730011,0.000006225056,0.00002075604],"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":[0.00001746742,0.000003895911,0.00001292912,0.00001103355,9.965958e-7,0.00001083042,0.000005162573,0.00002988359,0.9996525,0.00001949262,0.000006031383,0.0002297731],"study_design_scores_gemma":[0.000006293008,0.00006805517,0.0005716142,0.000002252198,0.0000056576,0.00004538101,0.000006373969,0.0004126267,0.9984782,0.000008423924,0.0003926375,0.000002319426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944185,0.0007454816,0.003219572,0.00006089316,0.00003098673,0.00001225707,0.00005358287,0.00007788801,0.001380958],"genre_scores_gemma":[0.9964811,0.0002426332,0.002061561,0.00003185591,0.000006235648,0.00001043395,0.0000279197,0.0000226328,0.001115649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001001125,"threshold_uncertainty_score":0.003349066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599738984931563,"score_gpt":0.2395205583546967,"score_spread":0.2235231685053811,"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."}}