{"id":"W4232679877","doi":"10.21203/rs.3.rs-63517/v1","title":"Overcoming Bioprocess Bottlenecks in the Large-Scale Expansion of High Quality hiPSC Aggregates in Vertical-Wheel Stirred Suspension Bioreactors","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; Alberta Health Services; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Children's Hospital Research Institute; Stem Cell Network","keywords":"Bioprocess; Bioreactor; Suspension (topology); SCALE-UP; Scale (ratio); Quality (philosophy); Process engineering; Continuous stirred-tank reactor; Chemistry; Engineering; Chemical engineering; Mathematics; Physics","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":[0.0008437025,0.000297815,0.0004921779,0.0002303806,0.000288355,0.001185272,0.0004218048,0.0003853539,0.0005492003],"category_scores_gemma":[0.0007486762,0.0001765518,0.0002914545,0.000294044,0.0003090235,0.0004026978,0.000547889,0.0008619099,0.0004256999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005103712,"about_ca_system_score_gemma":0.0004237363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507481,"about_ca_topic_score_gemma":0.003032666,"domain_scores_codex":[0.9995961,0.00006173384,0.00004686383,0.00007776728,0.0001548353,0.00006285281],"domain_scores_gemma":[0.9995431,0.0001591997,0.00006922601,0.00007372205,0.00009393741,0.00006096451],"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":[0.00003654415,0.00001523609,0.0001406565,0.00002157267,0.000003709004,0.00002424676,0.00002341303,0.0002434083,0.9983365,0.00005591396,0.00005634815,0.001042505],"study_design_scores_gemma":[0.000009753039,0.00008376557,0.001953988,0.000005773159,0.00001752641,0.00004556623,0.00002577273,0.004379294,0.9924082,0.0000691731,0.0009935357,0.000007749867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953698,0.001005207,0.04308641,0.0002445519,0.00006965767,0.00006869896,0.0003640922,0.0004105715,0.001052843],"genre_scores_gemma":[0.9678313,0.000636223,0.02868255,0.00007249508,0.00003029501,0.00009490156,0.0007683117,0.0001530366,0.001730874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001507481,"threshold_uncertainty_score":0.004462004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05645977662933802,"score_gpt":0.3913376932559663,"score_spread":0.3348779166266283,"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."}}