{"id":"W3132588977","doi":"10.1096/fj.202002081r","title":"Bioprinting of human nasoseptal chondrocytes‐laden collagen hydrogel for cartilage tissue engineering","year":2021,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Misericordia Community Hospital; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Cancer Foundation","keywords":"Cartilage; Chondrogenesis; Tissue engineering; Biomedical engineering; 3D bioprinting; Nasal cartilages; Matrix (chemical analysis); Nasal septum; Anatomy; Materials science; Rhinoplasty; Medicine; Nose","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":[0.0001878657,0.0003201743,0.0001050591,0.0001402365,0.00008513459,0.0001527418,0.0001220413,0.0002129531,0.0006211068],"category_scores_gemma":[0.0001252636,0.0001066167,0.0001828519,0.00008643221,0.0001273093,0.0001247697,0.0001063556,0.0001991601,0.000179413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832726,"about_ca_system_score_gemma":0.0001432715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007766985,"about_ca_topic_score_gemma":0.002474202,"domain_scores_codex":[0.9999073,0.000009749904,0.000007964139,0.00001903278,0.0000357724,0.00002025824],"domain_scores_gemma":[0.9999189,0.00002684946,0.00002064024,0.000009655836,0.000009789736,0.000014182],"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":[0.000006506229,0.000004100153,0.00002269942,0.00001394295,0.000001113066,0.0000177792,0.000006652991,0.0000517545,0.9993531,0.00001094159,0.000005464975,0.0005059987],"study_design_scores_gemma":[0.000002980731,0.00005938946,0.0006754445,0.000002650369,0.000004089924,0.00005827832,0.000007095982,0.0007930093,0.9979042,0.000005990445,0.0004840214,0.000002994004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835089,0.002003514,0.01225259,0.00004101544,0.0000598324,0.00005205294,0.0001329102,0.00005570954,0.001893603],"genre_scores_gemma":[0.985857,0.001087177,0.01104927,0.00003395547,0.000009702241,0.000035549,0.0001224387,0.00002355174,0.001781349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007766985,"threshold_uncertainty_score":0.002077818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934071315225423,"score_gpt":0.2767295443529078,"score_spread":0.2573888312006535,"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."}}