{"id":"W4386601220","doi":"10.3390/math11183860","title":"Sensor Selection and State Estimation of Continuous mAb Production Processes","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biomanufacturing; Estimation; Selection (genetic algorithm); Production (economics); Computer science; Mean squared error; Process (computing); State (computer science); Mathematical optimization; Mathematics; Statistics; Algorithm; Artificial intelligence; Engineering; Biotechnology","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":[0.00008916913,0.0000712089,0.00008648395,0.00004182834,0.00005424024,0.00001388789,0.00002804233,0.00004087666,0.000005867891],"category_scores_gemma":[0.0002845128,0.00006333915,0.00002003818,0.0001594504,0.00002644536,0.000004518075,0.00002990664,0.00002367605,0.000006525521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003384562,"about_ca_system_score_gemma":0.00002654947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003922926,"about_ca_topic_score_gemma":0.00000583939,"domain_scores_codex":[0.9995335,0.00001415331,0.0001460008,0.0001379579,0.00007899223,0.00008933808],"domain_scores_gemma":[0.9996639,0.00001002995,0.0000960714,0.00009838325,0.0001056495,0.00002588741],"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":[0.00005959865,0.0002162383,0.00212414,0.001890028,0.00007070882,0.000001212526,0.0007683139,0.01583332,0.9658169,0.000106571,0.007379655,0.0057333],"study_design_scores_gemma":[0.0002784884,0.0003282622,0.0011459,0.00009891115,0.00003213029,0.0000340081,0.0002749714,0.009224681,0.9837558,0.004050058,0.0006039824,0.0001728145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969299,0.00008007626,0.002527397,0.00003774916,0.00007701174,0.0001656226,0.000009079734,0.00004029793,0.0001329021],"genre_scores_gemma":[0.9976524,0.0001623799,0.001502137,0.00001005831,0.00004414443,0.00002300445,0.00003033368,0.00001301777,0.0005625898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01793887,"threshold_uncertainty_score":0.2582895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009487094713338471,"score_gpt":0.2613071766657714,"score_spread":0.2518200819524329,"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."}}