{"id":"W2989468220","doi":"10.1155/2019/4607461","title":"Serum-Free Culture of Human Mesenchymal Stem Cell Aggregates in Suspension Bioreactors for Tissue Engineering Applications","year":2019,"lang":"en","type":"article","venue":"Stem Cells International","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Alberta Children's Hospital; Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Mesenchymal stem cell; Bioreactor; Suspension (topology); Extracellular matrix; Tissue engineering; Cell culture; Matrix (chemical analysis); Biomedical engineering; Cell biology; Chemistry; Materials science; Biology; Chromatography; Medicine; Mathematics","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":[0.0006033306,0.0004710882,0.0004972121,0.0003814466,0.0002659479,0.0006142614,0.0003732816,0.0003794366,0.0006752135],"category_scores_gemma":[0.0002684486,0.0002002463,0.0005640938,0.0004783173,0.0001497895,0.0002749929,0.0003306728,0.0005591257,0.0007961835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933896,"about_ca_system_score_gemma":0.0003345872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009025554,"about_ca_topic_score_gemma":0.001606406,"domain_scores_codex":[0.9995502,0.00006405165,0.00008473077,0.00008670652,0.0001771176,0.00003729236],"domain_scores_gemma":[0.9997566,0.00005552598,0.00004081204,0.00004621083,0.00007434492,0.00002644668],"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":[0.00006166144,0.00005749002,0.0003121914,0.00005391939,0.000006945617,0.00007213073,0.00004526525,0.0002590822,0.9962836,0.00006209197,0.00007231841,0.002713348],"study_design_scores_gemma":[0.00001693037,0.0004916182,0.002475396,0.00001248707,0.00003987372,0.0002384524,0.00003386787,0.003047092,0.9909284,0.00005902437,0.002645428,0.0000113732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8808683,0.006006852,0.1046205,0.0002560427,0.0002538331,0.0008991532,0.001804732,0.0005867734,0.004703791],"genre_scores_gemma":[0.8913768,0.003538593,0.09645946,0.0002154998,0.0001057674,0.0006630131,0.003343495,0.00009429622,0.004203179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009025554,"threshold_uncertainty_score":0.003190756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016988747304452,"score_gpt":0.2937809135532626,"score_spread":0.2767921662488106,"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."}}