{"id":"W4205922598","doi":"10.3390/pr10020189","title":"Modern Sensor Tools and Techniques for Monitoring, Controlling, and Improving Cell Culture Processes","year":2022,"lang":"en","type":"article","venue":"Processes","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; National Research Council Canada","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Process (computing); Computer science; Risk analysis (engineering); Key (lock); Monitoring and control; Process control; Process management; Engineering; Systems engineering; Business; Control engineering; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007163031,0.0001470942,0.0001241982,0.00002593371,0.0004062841,0.0000992269,0.00009082987,0.00006473262,0.00000409386],"category_scores_gemma":[0.0002300309,0.0001308658,0.00002821455,0.0000663809,0.00003805045,0.00001338772,0.0001538414,0.00007237813,1.084192e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006829683,"about_ca_system_score_gemma":0.0001110805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007330746,"about_ca_topic_score_gemma":0.000002703682,"domain_scores_codex":[0.999225,0.00001746061,0.000126242,0.0003591497,0.00009132712,0.0001808082],"domain_scores_gemma":[0.9995123,0.00002415349,0.00009590379,0.0001077359,0.0001930973,0.00006677056],"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":[0.0003520171,0.0001716679,0.00819759,0.004302102,0.00004161428,0.000002383465,0.0005020351,0.00009104836,0.9709126,0.00000711685,0.002297586,0.01312223],"study_design_scores_gemma":[0.0006504324,0.0008962858,0.00003154746,0.00002876121,0.00004277855,0.00002235472,0.0004748463,0.00007186415,0.9192185,0.0005923911,0.07768066,0.0002895836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9066368,0.08336415,0.007442555,0.00009415326,0.0001698904,0.001059416,0.0003962807,0.000126018,0.0007107499],"genre_scores_gemma":[0.9940792,0.002405555,0.001520736,0.0001453922,0.0002872033,0.0007289818,0.00005060178,0.00002669384,0.0007556287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08744242,"threshold_uncertainty_score":0.5336553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056523328410273,"score_gpt":0.2577078621472831,"score_spread":0.2471426288631804,"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."}}