{"id":"W2024879253","doi":"10.1021/ac100325f","title":"Detection of <i>Escherichia coli</i> O157:H7 Using Gold Nanoparticle Labeling and Inductively Coupled Plasma Mass Spectrometry","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Escherichia coli; Chemistry; Inductively coupled plasma mass spectrometry; Mass spectrometry; Bacteria; Serotype; Chromatography; Colloidal gold; Detection limit; Enterobacteriaceae; Contamination; Immunoassay; Microbiology; Nanoparticle; Antibody; Biochemistry; Nanotechnology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001265372,0.0001666736,0.0002466644,0.00004014595,0.00004667622,0.00003533067,0.00007360928,0.0002287301,0.00006161402],"category_scores_gemma":[0.0001088419,0.0001693353,0.00006921363,0.0004083561,0.0001315705,0.00009190727,0.0000237799,0.0004957116,0.000004895328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004087036,"about_ca_system_score_gemma":0.00001338209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000209157,"about_ca_topic_score_gemma":0.000005006278,"domain_scores_codex":[0.9990486,0.00000710828,0.0002786583,0.0002245219,0.0001697837,0.0002713537],"domain_scores_gemma":[0.999507,0.00005884411,0.00004316117,0.0001649548,0.00006195359,0.0001640611],"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":[0.00001583397,0.00002354874,0.0002595948,0.00009558936,0.00005262889,0.000003417419,0.000008469345,0.0003426233,0.9989265,0.00003839156,0.000005298601,0.000228157],"study_design_scores_gemma":[0.0001792501,0.00001299551,0.0002506102,0.000009435506,0.00005471549,0.000008691268,0.00002501236,0.4106686,0.5885318,0.00009804388,0.00004438167,0.0001164775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969316,0.00003924685,0.001841745,0.00002626517,0.00009629392,0.00004557068,0.000005656706,0.0000983362,0.0009152918],"genre_scores_gemma":[0.9981263,0.00001159053,0.001593954,0.0000131885,0.0001386395,0.000001673626,0.000001282889,0.00002647584,0.00008692187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4103946,"threshold_uncertainty_score":0.6905295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009389137366869717,"score_gpt":0.2103752300296652,"score_spread":0.2009860926627955,"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."}}