{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003102391,0.0001948916,0.0003431632,0.00032994,0.00003071998,0.00002440415,0.0004464105,0.0001605192,0.0004705676],"category_scores_gemma":[0.0000113387,0.0001739959,0.0001159117,0.000246042,0.00003599457,0.00010519,0.0001643154,0.000247644,0.0001016728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995642,"about_ca_system_score_gemma":0.00006992302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005689384,"about_ca_topic_score_gemma":0.00001876537,"domain_scores_codex":[0.9981675,0.00002471079,0.0004862056,0.0003928558,0.0006220677,0.0003067178],"domain_scores_gemma":[0.9987558,0.0001684913,0.0001672035,0.0004599861,0.0003211471,0.000127384],"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":[0.00007812232,0.0002097346,0.01360034,0.0006642506,0.00005163586,0.00001027065,0.0003886843,0.0001659545,0.9787365,0.001731596,0.0004439168,0.003918944],"study_design_scores_gemma":[0.002693768,0.000407205,0.00431586,0.0003452978,0.00002513471,0.00001391387,0.000529198,0.002353108,0.9553881,0.00008031861,0.03361379,0.0002343328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807549,0.0005647795,0.0003366812,0.0001895216,0.000436974,0.002432508,0.0001360111,0.00005232253,0.01509626],"genre_scores_gemma":[0.9745136,0.00004853256,0.0008315498,0.00001669958,0.0001591586,0.0001175742,0.00007642579,0.00003861029,0.02419778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03316987,"threshold_uncertainty_score":0.7095345,"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."}}