{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001156374,0.0001177655,0.000136183,0.0000306803,0.0000475901,0.000007586599,0.0001283643,0.00007262858,0.000001034269],"category_scores_gemma":[0.00001166976,0.000121157,0.00004849094,0.00002604012,0.00003310802,0.000003562094,0.000183814,0.00005361857,0.000001874587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007951427,"about_ca_system_score_gemma":0.00002116094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001649636,"about_ca_topic_score_gemma":0.000003179736,"domain_scores_codex":[0.9991727,0.00001438203,0.0001443602,0.0002916782,0.00009315082,0.0002836908],"domain_scores_gemma":[0.9996518,0.000009399588,0.00003366321,0.0001605884,0.00004298431,0.0001015437],"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":[0.00003589785,0.00002326479,0.0000304636,0.0005591753,0.00002765046,7.732601e-7,0.0001216934,0.001316929,0.9881493,0.00001315038,0.0001257945,0.009595886],"study_design_scores_gemma":[0.0003678613,0.0002129305,0.001656431,0.00001543255,0.00001303726,0.00000374846,0.00008218949,0.0009928853,0.9833801,0.000001619169,0.01313517,0.0001385998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748116,0.01632176,0.006479805,0.00153891,0.0001012589,0.0004917294,0.00004057733,0.00002639864,0.0001879385],"genre_scores_gemma":[0.996631,0.001816933,0.001193815,0.00002424041,0.0001990994,0.00002829102,0.00002151599,0.00002418348,0.00006094462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02181935,"threshold_uncertainty_score":0.494064,"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."}}