{"id":"W3189376399","doi":"10.2139/ssrn.3884025","title":"Multi-Criteria Assessment of Continuous Manufacturing Reactor Technologies in Upstream Pharmaceutical Supply Chains","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"Engineering and Physical Sciences Research Council","keywords":"Upstream (networking); Supply chain; Pharmaceutical manufacturing; Business; Process engineering; Biochemical engineering; Manufacturing engineering; Industrial organization; Computer science; Engineering; Medicine; Pharmacology; Marketing","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":[0.006056162,0.001652069,0.001909763,0.002781086,0.001067681,0.00413589,0.00149035,0.002715661,0.002116685],"category_scores_gemma":[0.006612169,0.00105157,0.002360576,0.001866518,0.001081381,0.001666738,0.001579677,0.001548732,0.0001781712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003550891,"about_ca_system_score_gemma":0.003057787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206381,"about_ca_topic_score_gemma":0.006085019,"domain_scores_codex":[0.9965066,0.001706453,0.0001207041,0.0003024244,0.0009155867,0.0004482673],"domain_scores_gemma":[0.9930847,0.005196619,0.0005174266,0.0001330625,0.0007172551,0.0003509289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001394989,0.00009222623,0.0006244283,0.00008614469,0.00005285516,0.00005906054,0.00002154562,0.9927429,0.001304949,0.0007142745,0.00005106971,0.004111037],"study_design_scores_gemma":[0.00001331552,0.0002727767,0.0007503122,0.0000141214,0.00003014996,0.000007972451,0.0000333999,0.9971913,0.000985572,0.0006162387,0.00007312107,0.00001177374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6925911,0.00115969,0.2971328,0.0003457071,0.00005811458,0.0005021348,0.0002630686,0.0001534921,0.007794016],"genre_scores_gemma":[0.9864384,0.000192307,0.01175402,0.0000141727,0.00001078794,0.0001407014,0.00009149864,0.00001310837,0.001344926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206381,"threshold_uncertainty_score":0.03202844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152762608452887,"score_gpt":0.2924819081311311,"score_spread":0.2809542820466022,"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."}}