{"id":"W4286851765","doi":"10.3791/54543-v","title":"Generation of Two-color Antigen Microarrays for the Simultaneous Detection of IgG and IgM Autoantibodies","year":2016,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Astellas Pharma; Heart and Stroke Foundation of Canada","keywords":"Autoantibody; Antigen; Immunoglobulin M; Immunology; Immunoglobulin G; Medicine; Antibody","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":[0.0003905993,0.0001109915,0.0003748802,0.0001246415,0.0000887161,0.000009599144,0.00008946133,0.00005131381,0.00004189875],"category_scores_gemma":[0.0002527243,0.00005410009,0.0001599708,0.0000695925,0.0001693249,0.00008078525,0.00003445894,0.000066826,0.000001084006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003462056,"about_ca_system_score_gemma":0.00007054143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004711396,"about_ca_topic_score_gemma":0.000004396042,"domain_scores_codex":[0.9987685,0.0000623519,0.000548518,0.0001033215,0.0003591971,0.0001581054],"domain_scores_gemma":[0.9985263,0.0004347791,0.0004142948,0.0001039419,0.0004427144,0.00007799158],"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":[0.002389913,0.0001597068,0.001370045,0.00006520422,0.0002885966,0.000007667159,0.0005683873,0.000006419471,0.9809443,0.00008719468,0.000143581,0.01396896],"study_design_scores_gemma":[0.003715844,0.001515946,0.001305931,0.0001590691,0.00007481413,0.0001151792,0.0001871871,0.00164806,0.9883403,0.00005600307,0.00282035,0.00006133475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894268,0.004020717,0.005501711,0.0004512568,0.0002123947,0.0003306279,0.00001712928,0.000003532221,0.00003584917],"genre_scores_gemma":[0.9956115,0.001540025,0.002090922,0.00005670429,0.0002722424,0.000006272835,0.000001621147,0.00001304902,0.0004076409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01390762,"threshold_uncertainty_score":0.2206138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07944067763297923,"score_gpt":0.4627965644668152,"score_spread":0.3833558868338359,"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."}}