{"id":"W2076205283","doi":"10.1002/bit.20707","title":"Membrane chromatographic immunoassay method for rapid quantitative analysis of specific serum antibodies","year":2005,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chromatography; Antiserum; Chemistry; Membrane; Immunoassay; Antibody; Antigen; Hapten; Reagent; Quantitative analysis (chemistry); Biochemistry; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003188384,0.0001680164,0.0005736054,0.001135318,0.00007744677,0.000007362253,0.000101689,0.0002514097,0.00005448276],"category_scores_gemma":[0.00003836963,0.0001331173,0.0002243089,0.0009923298,0.0002415259,0.00004526046,0.00006106147,0.0001999524,0.000002381713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001260581,"about_ca_system_score_gemma":0.00001441157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002059922,"about_ca_topic_score_gemma":0.00001362424,"domain_scores_codex":[0.9990083,0.00001799743,0.0002886449,0.000268812,0.0001223791,0.0002938722],"domain_scores_gemma":[0.9994115,0.0001837756,0.00006263916,0.0002078898,0.00007605158,0.00005810261],"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":[0.0003118694,0.00009298222,0.003819114,0.0003264519,0.003444741,0.000008732102,0.0001276833,0.0001494594,0.933769,0.02174881,0.00005687213,0.03614428],"study_design_scores_gemma":[0.001102463,0.0008378413,0.0520677,0.000114207,0.001104047,0.00008012351,0.0003033525,0.08325496,0.8241942,0.00005046447,0.03657258,0.0003180935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501636,0.01223348,0.03144068,0.005410159,0.00005972443,0.0003247985,0.0001166426,0.000130688,0.0001202341],"genre_scores_gemma":[0.8778712,0.006647401,0.115206,0.00004129744,0.00004202756,0.00001407899,0.00003927019,0.00001461094,0.0001241251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095748,"threshold_uncertainty_score":0.5428365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258933898378445,"score_gpt":0.3222055376637409,"score_spread":0.2963121478258964,"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."}}