{"id":"W3214091524","doi":"10.3389/fbioe.2021.766399","title":"TEMPO-Oxidized Cellulose Nanofiber-Alginate Hydrogel as a Bioink for Human Meniscus Tissue Engineering","year":2021,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Alberta; Alberta Cancer Foundation","keywords":"Self-healing hydrogels; Meniscus; Nanofiber; Extracellular matrix; Biomedical engineering; Tissue engineering; Biomaterial; 3D bioprinting; Chemistry; Materials science; Biophysics; Nanotechnology; Polymer chemistry; Biochemistry; Biology","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":[0.0002891383,0.0003574482,0.0005144585,0.00055622,0.0000673934,0.00004576394,0.0003445247,0.0006163549,0.00001171262],"category_scores_gemma":[0.0002087166,0.0003845264,0.00006300373,0.0007448465,0.0001275591,0.00005237529,0.0001893686,0.0005735106,0.000005363181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002255418,"about_ca_system_score_gemma":0.00007619011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004322207,"about_ca_topic_score_gemma":0.000138787,"domain_scores_codex":[0.9979786,0.00001413434,0.0004209805,0.0005128012,0.0002176237,0.0008558907],"domain_scores_gemma":[0.9992626,0.00008751074,0.00003026853,0.0004031552,0.00004348874,0.0001729284],"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":[0.0000109792,0.00003279314,0.0001919014,0.0006002335,0.0001068255,0.0001718884,0.00004564422,0.001475955,0.9850914,0.002728185,0.001382191,0.008161956],"study_design_scores_gemma":[0.0009579605,0.00008814756,0.00003823356,0.00013151,0.00001618787,0.0000651323,0.0001011325,0.08234622,0.8697253,0.0009568166,0.04509165,0.000481647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8676742,0.008487057,0.1181051,0.001520532,0.001963298,0.0005499327,0.00003539331,0.001434771,0.0002297368],"genre_scores_gemma":[0.9254841,0.0005551032,0.07328418,0.000023241,0.00008778705,0.0001137638,0.0000369255,0.0001023385,0.0003125889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1153661,"threshold_uncertainty_score":0.9998606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007062067106786968,"score_gpt":0.2384117307021636,"score_spread":0.2313496635953766,"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."}}