{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003446401,0.0002610152,0.000356239,0.00004674795,0.0002258306,0.00006260339,0.00005070375,0.0001509722,0.00002319562],"category_scores_gemma":[0.0001588674,0.0002220536,0.0001395199,0.0001386215,0.0002258078,0.00002869884,0.0000412937,0.000246681,0.000003941064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006655898,"about_ca_system_score_gemma":0.00006390352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007031222,"about_ca_topic_score_gemma":0.000007603106,"domain_scores_codex":[0.9984465,0.00004771576,0.0002794458,0.0004803831,0.0002660952,0.0004798842],"domain_scores_gemma":[0.9990743,0.0001473069,0.00008661021,0.0002497601,0.0001193038,0.0003226949],"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":[0.001511185,0.0002409023,0.001244148,0.0003635101,0.00004078557,0.00009284481,0.00008258465,0.00000240905,0.9879166,0.00001091982,0.00007405011,0.008420008],"study_design_scores_gemma":[0.001384129,0.0003399669,0.01023462,0.0001250269,0.00004028711,0.0002133456,0.00007194804,0.0004365814,0.9828261,0.0007299487,0.003350197,0.0002478861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962019,0.0003485216,0.0003059115,0.001273524,0.00002924118,0.0006708317,0.00007179548,0.000099435,0.0009988149],"genre_scores_gemma":[0.9975505,0.00002055128,0.001226658,0.0003775552,0.0005212869,0.00001594172,0.00006421833,0.00002138759,0.000201847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008990476,"threshold_uncertainty_score":0.9055082,"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."}}