{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649448,0.0003097378,0.0004729942,0.000246529,0.0001291721,0.00007985903,0.0006912571,0.0005930141,0.00004430735],"category_scores_gemma":[0.001252945,0.000235691,0.0002249886,0.0005020694,0.0002041859,0.000009904568,0.001468336,0.00107931,0.000007230638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008294216,"about_ca_system_score_gemma":0.0003889122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002732513,"about_ca_topic_score_gemma":0.001197849,"domain_scores_codex":[0.9957765,0.001164546,0.0006483886,0.0009080245,0.0008732314,0.0006293551],"domain_scores_gemma":[0.9982141,0.0002167975,0.0001409596,0.0009333305,0.0003271092,0.0001676598],"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":[0.001908093,0.001511902,0.08993853,0.003068464,0.00007565998,0.00008513971,0.002077294,0.001019722,0.8935596,0.0002844534,0.003874966,0.002596119],"study_design_scores_gemma":[0.003850795,0.001517862,0.30602,0.003845377,0.00003910479,0.000006572885,0.006335272,0.0009628256,0.6612583,0.01083662,0.004155211,0.001172042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950099,0.002694847,0.0001194421,0.0007931083,0.000180702,0.0008123944,0.0002037842,0.00001486534,0.0001709725],"genre_scores_gemma":[0.9975898,0.001301665,0.00008582487,0.00009745781,0.000196892,0.0001502829,0.0005113843,0.00003804869,0.00002868931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2323013,"threshold_uncertainty_score":0.96112,"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."}}