{"id":"W1990588583","doi":"10.1016/j.autrev.2015.01.017","title":"Autoantibodies 2015: From diagnostic biomarkers toward prediction, prognosis and prevention","year":2015,"lang":"en","type":"review","venue":"Autoimmunity Reviews","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Autoantibody; Medicine; Standardization; Harmonization; Immunology; Autoimmunity; Clinical Practice; Diagnostic biomarker; Diagnostic accuracy; Family medicine; Internal medicine; Computer science; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002008264,0.0008211053,0.004198463,0.0003378184,0.0002496317,0.0001059429,0.0004101135,0.0005180096,0.0004535255],"category_scores_gemma":[0.001884996,0.0005611741,0.0009927069,0.0005870058,0.0004156538,0.0001948458,0.0005135357,0.001152493,0.0007975163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002137112,"about_ca_system_score_gemma":0.0007738686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007291838,"about_ca_topic_score_gemma":0.00001596046,"domain_scores_codex":[0.9949722,0.001424556,0.001684088,0.0007249973,0.000641048,0.0005530577],"domain_scores_gemma":[0.9968169,0.0009107405,0.0006743429,0.0008751773,0.0002760774,0.000446743],"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":[0.00002701007,0.0001801775,0.0005842896,0.03087818,0.0008525917,0.00003261232,0.000142022,9.810443e-9,8.234831e-7,0.00002060787,0.03681165,0.93047],"study_design_scores_gemma":[0.000379083,0.0003817652,0.001565171,0.05099308,0.003524197,0.0001814712,0.00002651658,0.00001004424,5.321187e-7,0.0002064699,0.9423168,0.0004148744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005303088,0.992398,0.00001968231,0.000441133,0.000384105,0.004647315,0.0005415389,0.0001443782,0.001370833],"genre_scores_gemma":[0.000004459803,0.9895015,0.001334161,0.00007367188,0.0003676091,0.0007473459,0.003898221,0.0000847029,0.003988368],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9300551,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1980290375404227,"score_gpt":0.4357384205510694,"score_spread":0.2377093830106466,"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."}}