{"id":"W2893741079","doi":"10.1016/j.actbio.2018.09.038","title":"Chondrogenic differentiation of synovial fluid mesenchymal stem cells on human meniscus-derived decellularized matrix requires exogenous growth factors","year":2018,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; University of Alberta; Alberta Health Services; Canadian Institutes of Health Research; Li Ka Shing Foundation","keywords":"Mesenchymal stem cell; Decellularization; Aggrecan; Synovial fluid; Chondrogenesis; Meniscus; Matrix (chemical analysis); Materials science; Growth factor; Cell biology; Transforming growth factor; Biomedical engineering; Chemistry; Extracellular matrix; Biology; Pathology; Medicine; Osteoarthritis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002909392,0.0002824339,0.0001546395,0.0002846528,0.0001741762,0.0003826356,0.0001610553,0.0001783978,0.001164506],"category_scores_gemma":[0.0002317644,0.0001224097,0.0002583899,0.0002010229,0.0002204367,0.0001683225,0.0002577512,0.0002108027,0.0003787814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909187,"about_ca_system_score_gemma":0.000411329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001995324,"about_ca_topic_score_gemma":0.003517059,"domain_scores_codex":[0.9998368,0.00002435417,0.00002548729,0.00002012384,0.0000514449,0.00004172484],"domain_scores_gemma":[0.999844,0.00005094531,0.00002165124,0.00001945497,0.0000316946,0.00003226961],"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":[0.0001621133,0.00002003365,0.0003220112,0.00003699325,0.000004956832,0.0001064702,0.00007506148,0.00005584989,0.9975129,0.0001650105,0.00002310049,0.001515543],"study_design_scores_gemma":[0.00001139204,0.0001031489,0.003135747,0.00000949994,0.00001381419,0.000121317,0.00005336477,0.0005116755,0.9940469,0.00002946624,0.001960534,0.000003024015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941182,0.0009392541,0.001785024,0.00002923847,0.00002013892,0.00002439348,0.0001584937,0.00002231761,0.002902811],"genre_scores_gemma":[0.9930009,0.000596877,0.002242009,0.00002852447,0.0000101834,0.00002377082,0.0004685727,0.00001032953,0.003618953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001995324,"threshold_uncertainty_score":0.003967404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258621966673774,"score_gpt":0.2929448131420493,"score_spread":0.267082616474672,"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."}}