{"id":"W4289667648","doi":"10.1208/s12249-022-02360-3","title":"Environmental Monitoring for Closed Robotic Workcells Used in Aseptic Processing: Data to Support Advanced Environmental Monitoring Strategies","year":2022,"lang":"en","type":"article","venue":"AAPS PharmSciTech","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Aseptic processing; Process (computing); Process engineering; Computer science; Engineering; Waste management; Manufacturing engineering; Operations management; Mechanical engineering; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004537205,0.0002827448,0.0003105597,0.0002574674,0.0002676958,0.0001270901,0.000475503,0.00008992538,0.0001114273],"category_scores_gemma":[0.00001020325,0.0003320923,0.00006399993,0.0003171794,0.00001839768,0.0006121411,0.0002661107,0.0004109708,0.00003527655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006020993,"about_ca_system_score_gemma":0.00003439508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009954629,"about_ca_topic_score_gemma":0.000001291092,"domain_scores_codex":[0.9979661,0.00004737532,0.0004821587,0.0005369828,0.0004545714,0.0005128116],"domain_scores_gemma":[0.9992391,0.00006720223,0.00007773252,0.0004835675,0.000003360255,0.0001290748],"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":[0.00009516861,0.000109464,0.00467934,0.00006577655,0.00002839107,0.00002894751,0.0007020475,0.2444098,0.679988,0.000001068235,0.0001675929,0.06972446],"study_design_scores_gemma":[0.01476504,0.002558712,0.02321621,0.0005426148,0.0002442501,0.0001490131,0.04639149,0.09578476,0.7431134,0.0001551054,0.06904563,0.004033756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931239,0.0002939123,0.002936168,0.00001314059,0.00201088,0.001175389,0.0001466748,0.0002251794,0.00007473093],"genre_scores_gemma":[0.9977562,0.00001892451,0.0009731543,0.000007966911,0.0004495509,0.0004625591,0.00009799424,0.0000923696,0.0001413003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.148625,"threshold_uncertainty_score":0.9999131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06535537314037256,"score_gpt":0.3012860303712739,"score_spread":0.2359306572309014,"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."}}