{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005255861,0.0006234281,0.0003414526,0.0004293787,0.0001740587,0.0003410183,0.0005318479,0.0006365214,0.0004014722],"category_scores_gemma":[0.0005243276,0.0003166732,0.000342898,0.0001984442,0.000355234,0.0002767979,0.0004484864,0.0004608358,0.0004583828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870776,"about_ca_system_score_gemma":0.0001459665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003816476,"about_ca_topic_score_gemma":0.0004988931,"domain_scores_codex":[0.9994893,0.0001279331,0.00002902561,0.00008840318,0.0002045685,0.00006069392],"domain_scores_gemma":[0.9997922,0.00007162083,0.00003525178,0.00001525882,0.0000666877,0.00001893457],"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":[0.00001792346,0.00001017404,0.00008233949,0.00002397466,0.000003778142,0.0000163103,0.000008058453,0.00007226663,0.9984177,0.00006027711,0.00002111537,0.001265942],"study_design_scores_gemma":[0.000004366547,0.00009849775,0.0004594417,0.000003392578,0.000006650782,0.00008401497,0.000007584134,0.001768652,0.9971387,0.00003872135,0.0003853258,0.000004505027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9149826,0.002984258,0.07728674,0.0002746213,0.0001118571,0.00006206841,0.00009096889,0.0005251809,0.003681538],"genre_scores_gemma":[0.9374531,0.00156641,0.057514,0.0001635341,0.00002927457,0.00004245085,0.0001459758,0.00003230988,0.003052836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006365214,"threshold_uncertainty_score":0.002779543,"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."}}