{"id":"W1525722773","doi":"10.1186/1471-2334-5-53","title":"Rapid and simultaneous detection of human hepatitis B virus and hepatitis C virus antibodies based on a protein chip assay using nano-gold immunological amplification and silver staining method","year":2005,"lang":"en","type":"article","venue":"BMC Infectious Diseases","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"HBcAg; HBsAg; Virology; Hepatitis B virus; Antibody; HBeAg; Molecular biology; Antigen; Staining; Colloidal gold; Chemistry; Virus; Biology; Materials science; Nanoparticle; Immunology; Nanotechnology","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":[0.000155567,0.0002260377,0.0002849978,0.0001918,0.000215683,0.00008260325,0.00003041377,0.0001394784,0.00001617915],"category_scores_gemma":[0.0002752444,0.0002161296,0.00006109018,0.0001577409,0.0001238136,0.0001402684,0.00002372897,0.0001422195,0.000001130179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008366238,"about_ca_system_score_gemma":0.000011109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206626,"about_ca_topic_score_gemma":0.001166988,"domain_scores_codex":[0.9989363,0.000135812,0.0002820848,0.000296956,0.0001414203,0.0002074063],"domain_scores_gemma":[0.9993121,0.000300651,0.00008995346,0.0001409689,0.00006222107,0.00009408823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009129651,0.0001498066,0.03720669,0.0003083967,0.0000660611,0.000005362984,0.00007825721,0.01339731,0.818885,0.0001047161,0.000001422199,0.1297057],"study_design_scores_gemma":[0.0007728811,0.0005844621,0.1388092,0.0001480287,0.0001429659,0.00002057283,0.0000215664,0.7166761,0.1421101,0.0002577736,0.00007012983,0.0003862969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795082,0.0009200101,0.01883651,0.000004747437,0.00004022935,0.0003233347,0.00005814731,0.0002298051,0.00007904827],"genre_scores_gemma":[0.9981876,0.0005693022,0.001077731,0.00002107296,0.00007265309,0.00002552281,0.00000848688,0.00002968736,0.000007921688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7032787,"threshold_uncertainty_score":0.8813509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475552984345213,"score_gpt":0.2507252384319816,"score_spread":0.2359697085885294,"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."}}