{"id":"W4285509048","doi":"10.18609/cgti.2021.219","title":"Process development and scale-up of pluripotent stem cell manufacturing","year":2021,"lang":"en","type":"article","venue":"Cell and Gene Therapy Insights","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Induced pluripotent stem cell; Process (computing); Process development; Scale (ratio); Manufacturing process; Manufacturing engineering; Computer science; Engineering; Biology; Materials science; Geography; Embryonic stem cell; Operating system; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001530974,0.0007761321,0.0003940364,0.0009985713,0.0005823958,0.001021388,0.0008766376,0.0007132061,0.009541826],"category_scores_gemma":[0.001473636,0.0004816095,0.000911914,0.0008993976,0.0003193805,0.001129752,0.001306152,0.001939694,0.007248178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008422208,"about_ca_system_score_gemma":0.001045077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814022,"about_ca_topic_score_gemma":0.002065054,"domain_scores_codex":[0.9989194,0.00008943662,0.00008370531,0.0001951422,0.0006213391,0.0000910434],"domain_scores_gemma":[0.9993957,0.00009815901,0.00004142022,0.000114225,0.000293222,0.00005728121],"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":[0.0001586411,0.0001483956,0.0005993668,0.0009303492,0.00003200972,0.0004764992,0.0003944465,0.005315416,0.7230486,0.007367498,0.02472164,0.236807],"study_design_scores_gemma":[0.00003495633,0.0003208804,0.000935246,0.00009919765,0.00002675841,0.0002525876,0.0000805111,0.008850886,0.8090211,0.001876073,0.1784582,0.00004359133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06266678,0.005078382,0.846186,0.002103984,0.001773067,0.002505649,0.005641043,0.01326423,0.06078075],"genre_scores_gemma":[0.2527164,0.008466092,0.6862389,0.001067879,0.000274796,0.00234385,0.009006497,0.002601347,0.03728418],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009541826,"threshold_uncertainty_score":0.03192061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458430121772456,"score_gpt":0.2334971514675452,"score_spread":0.2189128502498206,"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."}}