{"id":"W4229519124","doi":"10.21203/rs.3.rs-63517/v2","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":0,"is_retracted":false,"has_abstract":true,"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 (ratio); SCALE-UP; Quality (philosophy); Process engineering; Biochemical engineering; Engineering; Chemistry; Chemical engineering; Mathematics; Physics; Classical mechanics","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":[0.0006006096,0.0003840542,0.0003258897,0.0002397812,0.0003574358,0.0009702825,0.0003864567,0.0003855652,0.000567216],"category_scores_gemma":[0.000552061,0.000176329,0.0004992803,0.0002524487,0.0002380614,0.0003362478,0.0003979368,0.0004060291,0.0003373816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043951,"about_ca_system_score_gemma":0.0008477867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005800943,"about_ca_topic_score_gemma":0.005866857,"domain_scores_codex":[0.9996701,0.00004602432,0.00003411874,0.00005501036,0.0001464642,0.00004832115],"domain_scores_gemma":[0.9996328,0.0001247725,0.00007604151,0.00003869144,0.0001016813,0.00002605932],"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":[0.0001218726,0.000100117,0.002615536,0.0001362206,0.00001342457,0.0001275439,0.00006100499,0.02545283,0.9623904,0.0004348618,0.0001850363,0.008361275],"study_design_scores_gemma":[0.00002196811,0.0004437508,0.005444579,0.00002338334,0.00004115071,0.00008843697,0.00009061668,0.1252315,0.8657565,0.0002282561,0.002595778,0.0000339787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277016,0.0006519515,0.06908497,0.0001361213,0.00004654275,0.00009255928,0.0003808152,0.0004727193,0.001432831],"genre_scores_gemma":[0.9729793,0.000411663,0.0255171,0.00002573147,0.000006718173,0.00009322845,0.0002921005,0.0000276269,0.0006465566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005800943,"threshold_uncertainty_score":0.01153433,"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."}}