{"id":"W1992581184","doi":"10.1021/bc900332r","title":"Single-Domain Antibody-Nanoparticles: Promising Architectures for Increased <i>Staphylococcus aureus</i> Detection Specificity and Sensitivity","year":2009,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; National Research Council Canada; Institute for Biological Sciences; Steacie Institute for Molecular Sciences; Institute for Microstructural Sciences; University of Ottawa","funders":"National Research Council Canada","keywords":"Chemistry; Staphylococcus aureus; Antibody; Population; Nanoparticle; Biomolecule; Conjugate; Nanotechnology; Computational biology; Combinatorial chemistry; Biochemistry; Bacteria; Immunology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000218307,0.0002973339,0.0002249579,0.0001762399,0.0001120605,0.0003075029,0.0002910266,0.0005119687,0.0006051011],"category_scores_gemma":[0.0002410732,0.0002105823,0.000168038,0.0001063458,0.0001975752,0.0003259441,0.0002466311,0.000304086,0.0004008684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500418,"about_ca_system_score_gemma":0.0001441669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002603567,"about_ca_topic_score_gemma":0.0005048388,"domain_scores_codex":[0.9998634,0.00002464162,0.000008750732,0.00004330475,0.00003625608,0.00002365358],"domain_scores_gemma":[0.9998983,0.00003254321,0.00001862133,0.000007678671,0.00002599758,0.00001682838],"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":[0.00002526754,0.000008500419,0.00007400405,0.00004846805,0.000003057161,0.00003546022,0.000009005003,0.0002521729,0.9956483,0.0002573048,0.00005750193,0.00358092],"study_design_scores_gemma":[0.000007862559,0.00007740613,0.0002787536,0.0000024266,0.000007586441,0.000277152,0.000005608736,0.002791207,0.9944863,0.0001065549,0.001955253,0.000004065922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8545544,0.006406514,0.1317016,0.0005247114,0.0001182971,0.0001004519,0.0001377129,0.0007241236,0.005732237],"genre_scores_gemma":[0.9285769,0.001462667,0.06662003,0.000240942,0.00002581342,0.00003877408,0.0001245753,0.00004401203,0.002866304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006051011,"threshold_uncertainty_score":0.002024293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861777077576634,"score_gpt":0.2815422409026099,"score_spread":0.2629244701268436,"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."}}