{"id":"W2158356235","doi":"10.1309/ajcpx1sqxki3mwnn","title":"Application of Linear Discriminant Analysis in Performance Evaluation of Extractable Nuclear Antigen Immunoassay Systems in the Screening and Diagnosis of Systemic Autoimmune Rheumatic Diseases","year":2012,"lang":"en","type":"article","venue":"American Journal of Clinical Pathology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Immunoassay; Extractable nuclear antigens; Medicine; Multiplex; Anti-nuclear antibody; Autoantibody; Antigen; Immunology; Internal medicine; Antibody; Biology; Bioinformatics","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":[0.01473237,0.0001116782,0.001689178,0.0005338797,0.00002228441,0.000003519394,0.000233389,0.00007884604,0.000006824994],"category_scores_gemma":[0.002372433,0.00007120772,0.0002283718,0.0009111509,0.0005077773,0.0001353341,0.0000486223,0.0003222691,7.566923e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004847365,"about_ca_system_score_gemma":0.0001441818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003927863,"about_ca_topic_score_gemma":0.000005052899,"domain_scores_codex":[0.9938507,0.002265092,0.002760666,0.000141828,0.0007577783,0.0002239374],"domain_scores_gemma":[0.9941169,0.002117871,0.002791776,0.0004118734,0.0004834642,0.00007810113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003689392,0.0005321823,0.9588545,0.0005204863,0.0002424705,0.000005225103,0.002684046,0.0007436533,0.001409524,0.00001672218,0.00000216829,0.03462009],"study_design_scores_gemma":[0.001453955,0.0007870449,0.9382357,0.001730533,0.0008837538,0.000908052,0.01171044,0.04420591,0.00002415305,0.000003340609,0.000003414243,0.0000536948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906111,0.008042665,0.0006729286,0.00008497217,0.00006790059,0.0004953257,0.000005920939,0.00000199712,0.00001717425],"genre_scores_gemma":[0.9962056,0.003195182,0.0005031499,0.000008378038,0.00004157634,0.00002820813,0.000003997005,0.00001270356,0.000001209328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04346226,"threshold_uncertainty_score":0.5105973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06706194563761983,"score_gpt":0.4098869884639053,"score_spread":0.3428250428262855,"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."}}