{"id":"W1999506970","doi":"10.1155/2014/315179","title":"Current Concepts and Future Directions for the Assessment of Autoantibodies to Cellular Antigens Referred to as Anti-Nuclear Antibodies","year":2014,"lang":"en","type":"review","venue":"Journal of Immunology Research","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Autoantibody; Antigen; IIf; Immunology; Serology; Standardization; Medicine; Extractable nuclear antigens; Antibody; Computational biology; Computer science; Biology; Anti-nuclear 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003934163,0.0004436478,0.002985115,0.001543359,0.0006593135,0.00008382714,0.0008326906,0.0003714983,0.0001271829],"category_scores_gemma":[0.0009983011,0.000251755,0.0008548445,0.0008550833,0.0008786077,0.0000719329,0.0006758898,0.002534643,0.00004524509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001780695,"about_ca_system_score_gemma":0.001298816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000593283,"about_ca_topic_score_gemma":0.000007784803,"domain_scores_codex":[0.9950973,0.0009604424,0.00142254,0.0004639304,0.001185867,0.0008699681],"domain_scores_gemma":[0.9937948,0.002309271,0.0005655565,0.0006290681,0.002327414,0.0003738787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005415867,0.0003592082,0.0003247652,0.01090789,0.002845207,0.00007695925,0.0006736406,0.000001135755,0.001491193,0.002451387,0.01312495,0.9672021],"study_design_scores_gemma":[0.0005285399,0.003162557,0.003315216,0.007250283,0.0005491219,0.0006927948,0.0004964399,0.00001203027,0.0000625265,0.00004366942,0.9836749,0.0002119317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008204379,0.980688,0.00004462185,0.007288212,0.001164266,0.002087028,0.00009988401,0.00001202729,0.0004115891],"genre_scores_gemma":[0.000922636,0.9955077,0.0009361187,0.00006723649,0.00156912,0.00005527841,0.00002377174,0.00007095753,0.0008472055],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9705499,"threshold_uncertainty_score":0.9999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262099703212199,"score_gpt":0.5177785895260334,"score_spread":0.3915686192048135,"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."}}