{"id":"W2138108257","doi":"10.4049/jimmunol.181.11.8162","title":"Detection of Complement Activation on Antigen Microarrays Generates Functional Antibody Profiles and Helps Characterization of Disease-Associated Changes of the Antibody Repertoire","year":2008,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"Eötvös Loránd Tudományegyetem; Magyar Tudományos Akadémia","keywords":"Isotype; Complement system; Antibody; Immune system; Antibody Repertoire; Immunology; DNA microarray; Antigen; Classical complement pathway; Biology; Microarray; Chemistry; Gene; Genetics; Gene expression; Monoclonal antibody","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004883973,0.0004745844,0.0003690154,0.0009741283,0.0002020824,0.0006037212,0.000256964,0.0007532577,0.002423205],"category_scores_gemma":[0.0006188703,0.000276032,0.0002235009,0.0006272891,0.0003215726,0.0004471372,0.0003090299,0.0004793116,0.0008515319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836815,"about_ca_system_score_gemma":0.0001469211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002467327,"about_ca_topic_score_gemma":0.0004282891,"domain_scores_codex":[0.9994401,0.0001522777,0.00002619622,0.0001298391,0.0001860009,0.00006552906],"domain_scores_gemma":[0.9995722,0.0001908365,0.0000708308,0.00005163642,0.00007096008,0.00004345458],"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":[0.00003911984,0.00001236645,0.0005093166,0.00004023812,0.000005790364,0.00001798661,0.00001247324,0.00009386682,0.994877,0.0002172625,0.00007093295,0.004103615],"study_design_scores_gemma":[0.000008790254,0.0001771464,0.01345165,0.00001076487,0.00002619701,0.0003162886,0.00003351662,0.005104754,0.9768311,0.0006604749,0.003365076,0.00001432924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8255702,0.004032082,0.1596687,0.0004221868,0.0001279685,0.00008882119,0.002020735,0.00076357,0.007305738],"genre_scores_gemma":[0.8977931,0.00187055,0.09549841,0.0002277484,0.00005793514,0.0001787822,0.001215608,0.00007125654,0.003086571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002423205,"threshold_uncertainty_score":0.008106411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360546940314625,"score_gpt":0.2838043431835917,"score_spread":0.2501988737804454,"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."}}