{"id":"W2021307199","doi":"10.1039/b701160a","title":"Raman-based detection of bacteria using silver nanoparticles conjugated with antibodies","year":2007,"lang":"en","type":"article","venue":"The Analyst","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute; National Research Council Canada","funders":"","keywords":"Polyclonal antibodies; Nanoparticle; Biomolecule; Raman scattering; Conjugated system; Bacteria; Raman spectroscopy; Silver nanoparticle; Chemistry; Escherichia coli; Nanotechnology; Materials science; Antibody; Biochemistry; Optics; Biology; Polymer; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001795459,0.00008105241,0.0001249658,0.00006767124,0.00006202528,0.00001671086,0.00004613354,0.00003719168,0.00001797047],"category_scores_gemma":[0.000006538156,0.00005076921,0.0000453487,0.0003127003,0.00007494661,0.00004386792,0.000004630403,0.00006450149,0.000005051653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002161691,"about_ca_system_score_gemma":0.000004036924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001026843,"about_ca_topic_score_gemma":0.000209193,"domain_scores_codex":[0.9995183,0.00001601196,0.0001596894,0.00007059214,0.00009394984,0.000141485],"domain_scores_gemma":[0.9997193,0.0000387746,0.00003544657,0.0001308744,0.00004678508,0.00002878117],"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":[0.0000451051,0.000008195401,0.0005648142,0.00001821152,0.00005950393,0.000001936103,0.00002408399,0.01448706,0.9839309,0.00001464839,0.000001836693,0.0008436798],"study_design_scores_gemma":[0.000144876,0.00003490277,0.01009083,0.00001934696,0.00009082976,0.000002709213,0.00006349538,0.1712769,0.8181309,0.0000139087,0.00006375527,0.0000676413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842132,0.0000478763,0.01544056,0.00001303813,0.00004135771,0.00004396574,0.00000181038,0.00007049045,0.0001276552],"genre_scores_gemma":[0.999698,0.000003840852,0.0002256755,0.00001424511,0.00003422565,3.58142e-7,0.000001125977,0.00001173621,0.00001076845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1658001,"threshold_uncertainty_score":0.2070308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180889345344715,"score_gpt":0.2184006951211775,"score_spread":0.2065918016677303,"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."}}