{"id":"W4414015807","doi":"10.11159/icbes25.137","title":"Detection of Uropathogenic Escherichia Coli in Urine Using an Immunobiosensor Based On Antigen-Antibody Biorecognition, Coupled With Fluorescence Detection and Bead-Injection Analysis","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Escherichia coli; Fluorescence; Antigen; Urine; Bead; Antibody; Chromatography; Chemistry; Molecular biology; Materials science; Biology; Biochemistry; Immunology; Gene; Optics","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":[0.0002466862,0.0001038487,0.0001653293,0.0004006105,0.00009574313,0.0000778244,0.0001048806,0.0000363319,7.464617e-8],"category_scores_gemma":[0.00001910443,0.00007754673,0.00002396294,0.001173562,0.0001071924,0.00001981388,0.00004423489,0.0000920965,1.033523e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001900831,"about_ca_system_score_gemma":0.00002331366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006769037,"about_ca_topic_score_gemma":0.00002036033,"domain_scores_codex":[0.9992579,0.00001201705,0.0001620405,0.0002906049,0.0001296145,0.0001478685],"domain_scores_gemma":[0.9996357,0.00001279101,0.00008081843,0.00008295839,0.0001484838,0.00003923984],"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":[0.0001442458,0.00004324903,0.01588416,0.00006032972,0.00002752438,1.651167e-7,0.000007225856,0.002677913,0.9802673,0.00002402267,7.549658e-8,0.0008637241],"study_design_scores_gemma":[0.0002310619,0.0004181555,0.1019969,0.0001220718,0.00002214208,0.000003881913,0.000006023521,0.5795224,0.3176118,6.485755e-7,0.000002864246,0.00006202191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936616,0.00008519603,0.00597483,0.000006256516,0.00009660741,0.0001642826,0.000001225106,0.000006702036,0.000003242665],"genre_scores_gemma":[0.9997851,0.00002355707,0.000145742,0.000006438856,0.00001998979,0.000006618026,7.29232e-7,0.000004651765,0.000007186411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6626555,"threshold_uncertainty_score":0.3162264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005374770357789937,"score_gpt":0.2290791090413681,"score_spread":0.2237043386835781,"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."}}