{"id":"W3013648589","doi":"10.3390/bioengineering7020031","title":"Challenges and Solutions for Commercial Scale Manufacturing of Allogeneic Pluripotent Stem Cell Products","year":2020,"lang":"en","type":"article","venue":"Bioengineering","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Induced pluripotent stem cell; Bottleneck; Bioreactor; Manufacturing process; Biochemical engineering; Scale (ratio); Process (computing); Biotechnology; Process development; Computer science; Process engineering; Engineering; Biology; Materials science; Embedded system; Embryonic stem cell","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006907799,0.001001758,0.0007388741,0.001215053,0.001355884,0.003571807,0.001992343,0.002941218,0.006471468],"category_scores_gemma":[0.00569683,0.0007007131,0.001112619,0.001259319,0.001474744,0.004061966,0.002406979,0.003911966,0.003782765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873602,"about_ca_system_score_gemma":0.003367139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079175,"about_ca_topic_score_gemma":0.001325274,"domain_scores_codex":[0.9961303,0.0006494246,0.0003470336,0.0005004627,0.002128397,0.0002443643],"domain_scores_gemma":[0.994979,0.001447447,0.0007573641,0.000493875,0.001954199,0.000368175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003098289,0.0005175241,0.002150418,0.005590843,0.0001273908,0.001813577,0.0009705891,0.01173965,0.4205211,0.08637486,0.03391447,0.4359697],"study_design_scores_gemma":[0.00009564487,0.0009183147,0.00199971,0.001490626,0.000134098,0.002749482,0.002961014,0.01733547,0.2220308,0.0783527,0.6717783,0.0001537866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1019579,0.1985344,0.5091908,0.1206439,0.007310739,0.001225175,0.001080204,0.001654106,0.05840273],"genre_scores_gemma":[0.2358191,0.1394804,0.5929671,0.009116711,0.001890281,0.001421152,0.001865886,0.0004784225,0.01696107],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006907799,"threshold_uncertainty_score":0.0365324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04890196226491027,"score_gpt":0.2428090575940482,"score_spread":0.1939070953291379,"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."}}