{"id":"W4398193993","doi":"10.1016/j.jcyt.2024.03.208","title":"IDENTIFYING CRITICAL PROCESS PARAMETERS AND CRITICAL QUALITY ATTRIBUTES ASSOCIATED WITH SCALABLE MANUFACTURE OF STEM CELL-DERIVED PANCREATIC ENDOCRINE CELL TYPES","year":2024,"lang":"en","type":"article","venue":"Cytotherapy","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stem cell; Endocrine system; Process (computing); Biology; Computational biology; Computer science; Cell biology; Endocrinology; Hormone","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":[0.001933029,0.000865675,0.0006964795,0.0006889697,0.0004262611,0.002151636,0.0004995353,0.0007017649,0.001463481],"category_scores_gemma":[0.004080344,0.0004497216,0.0005514091,0.001051594,0.0007539741,0.001608183,0.0007620455,0.001246658,0.0004659078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007816,"about_ca_system_score_gemma":0.001230045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007589937,"about_ca_topic_score_gemma":0.001710525,"domain_scores_codex":[0.9989153,0.0001274339,0.0001037679,0.0001943346,0.0005534532,0.0001057381],"domain_scores_gemma":[0.9974183,0.001033037,0.0007927075,0.000180927,0.000499603,0.00007542763],"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":[0.0001752735,0.00009251867,0.00154783,0.0003287619,0.00001907332,0.00009228708,0.00009997874,0.004382391,0.982646,0.000780648,0.0001643354,0.009670895],"study_design_scores_gemma":[0.000008644839,0.0002325134,0.002980731,0.00003520986,0.00002989924,0.0000575751,0.00009638871,0.005402721,0.9890317,0.0006148748,0.001486868,0.0000228492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731518,0.005953844,0.1133719,0.000468541,0.0001122248,0.0004255901,0.001128641,0.0004400222,0.004947442],"genre_scores_gemma":[0.9506935,0.003100103,0.04362064,0.0001328958,0.00003192631,0.0002643927,0.0007559444,0.0001937488,0.001206867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002151636,"threshold_uncertainty_score":0.01022291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567134979511181,"score_gpt":0.332397469283102,"score_spread":0.2967261194879902,"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."}}