{"id":"W4414015504","doi":"10.11159/icbes25.118","title":"Monte Carlo Simulation and Optofluidic Techniques for Detecting Enterococcus faecalis and Enterococcus faecium","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Council","keywords":"Enterococcus faecalis; Enterococcus faecium; Monte Carlo method; Enterococcus; Computer science; Microbiology; Biology; Mathematics; Statistics; Bacteria; Antibiotics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002072605,0.0001556995,0.0002136883,0.0002378374,0.0001960151,0.0001818003,0.0001620467,0.00004311606,6.816236e-8],"category_scores_gemma":[0.00002254991,0.000122129,0.00002422231,0.0004531796,0.00009245136,0.0001062826,0.00008430393,0.0001230932,2.028356e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003476512,"about_ca_system_score_gemma":0.000008264136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009025411,"about_ca_topic_score_gemma":4.09775e-7,"domain_scores_codex":[0.9991513,0.000002878379,0.0002185279,0.0002781198,0.0001165237,0.0002326012],"domain_scores_gemma":[0.9996188,0.00009904503,0.00004474283,0.00007376342,0.00009538758,0.00006821919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009128833,0.00006520746,0.007547274,0.002698816,0.000190098,7.194723e-7,0.0005155461,0.009296276,0.8441171,0.03655151,0.004346867,0.09457926],"study_design_scores_gemma":[0.0002014063,0.00008493909,0.001335398,0.0003058618,0.00002160645,0.000008179246,0.00001133604,0.9374437,0.05563384,0.00003131654,0.00477363,0.0001488358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757642,0.01304287,0.01004348,0.00007279906,0.0002621579,0.0006082393,0.000003847952,0.0001414127,0.00006104974],"genre_scores_gemma":[0.9985592,0.001043794,0.000170693,0.00002294682,0.00004882005,0.00007615577,7.740571e-8,0.00001007637,0.00006828952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9281474,"threshold_uncertainty_score":0.4980276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005743449196250291,"score_gpt":0.2188323704400704,"score_spread":0.2130889212438201,"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."}}