{"id":"W4214543305","doi":"10.3390/bioengineering9030092","title":"Cell Culture Process Scale-Up Challenges for Commercial-Scale Manufacturing of Allogeneic Pluripotent Stem Cell Products","year":2022,"lang":"en","type":"article","venue":"Bioengineering","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Induced pluripotent stem cell; Scale (ratio); Manufacturing process; Process (computing); Stem cell; SCALE-UP; Bioreactor; Biotechnology; Biochemical engineering; Computer science; Materials science; Engineering; Biology; Embryonic stem cell; Cell biology; Genetics","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":[0.00277293,0.0006790371,0.000560934,0.0006931571,0.000825521,0.001999622,0.0008763294,0.0009627513,0.003019956],"category_scores_gemma":[0.002448561,0.0003953759,0.0008685179,0.0007516691,0.0005273922,0.001185446,0.0009039338,0.001882905,0.002496535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009430224,"about_ca_system_score_gemma":0.001309453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071072,"about_ca_topic_score_gemma":0.002130636,"domain_scores_codex":[0.9983771,0.0002250079,0.0001854451,0.0002562011,0.000871932,0.00008437256],"domain_scores_gemma":[0.9980707,0.0006141798,0.0002841531,0.0002551245,0.000643126,0.0001328863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009505526,0.0001167169,0.0007612362,0.0009924236,0.00003757969,0.0003893146,0.0002453031,0.00228062,0.937446,0.002150699,0.002757863,0.05272719],"study_design_scores_gemma":[0.00003747834,0.000502783,0.00248158,0.0002740237,0.0001576381,0.0008045047,0.0004328592,0.008058519,0.8648731,0.002999948,0.1193223,0.00005522689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3401245,0.05669665,0.5569023,0.009589309,0.004059649,0.002480565,0.002668369,0.003007418,0.02447127],"genre_scores_gemma":[0.4696741,0.04435163,0.4692276,0.001719966,0.000683381,0.001651038,0.002873018,0.0005894147,0.009229882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003019956,"threshold_uncertainty_score":0.01466483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181493778097784,"score_gpt":0.2417600326273146,"score_spread":0.2236106548175362,"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."}}