{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005246024,0.0007240642,0.0005811689,0.0005719679,0.0002296137,0.0005158411,0.0007108391,0.001084575,0.0003463087],"category_scores_gemma":[0.0005486839,0.0003097169,0.0003939121,0.0003866925,0.0003954696,0.0003792059,0.0005037116,0.0005939023,0.0003552123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005000777,"about_ca_system_score_gemma":0.0003294242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005497458,"about_ca_topic_score_gemma":0.0005726096,"domain_scores_codex":[0.9991269,0.000134911,0.00004774235,0.000218247,0.0003968557,0.00007543012],"domain_scores_gemma":[0.9997875,0.00006871143,0.00004522229,0.00001658752,0.00006112434,0.00002090084],"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":[0.00002642651,0.00002779696,0.0001491382,0.0000467132,0.00000577162,0.00002469193,0.00001242062,0.0001004019,0.9957267,0.00005604793,0.00003618644,0.003787667],"study_design_scores_gemma":[0.000005135286,0.0001410591,0.001205814,0.000005397781,0.0000111342,0.0001551685,0.000007692704,0.004956518,0.9930395,0.00003785373,0.0004215011,0.00001320692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6407515,0.005692315,0.3486658,0.0004705066,0.0002700115,0.0002809374,0.0002844664,0.001248585,0.002335809],"genre_scores_gemma":[0.7833672,0.002483531,0.2095996,0.0006000524,0.00008690521,0.0002921962,0.000230943,0.00005303479,0.003286486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001084575,"threshold_uncertainty_score":0.003628373,"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."}}