{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256517,0.0009663389,0.001796412,0.002345327,0.0002341468,0.001439559,0.0008739841,0.001450576,0.002893677],"category_scores_gemma":[0.002379383,0.0003326322,0.0005820952,0.001680968,0.0005468978,0.001403191,0.000890373,0.002171242,0.001490047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007731863,"about_ca_system_score_gemma":0.00148398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001244826,"about_ca_topic_score_gemma":0.002459777,"domain_scores_codex":[0.9995943,0.0000829023,0.00006814586,0.00006292234,0.000156635,0.00003520496],"domain_scores_gemma":[0.998772,0.00065077,0.0001826755,0.00002590393,0.0002829253,0.00008582504],"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":[0.0001059189,0.00004819109,0.0003722362,0.0137711,0.0001468232,0.0001058337,0.00002559056,0.0002372788,0.0007108519,0.002107786,0.04299031,0.9393781],"study_design_scores_gemma":[0.00005596717,0.0001115542,0.001452316,0.01054486,0.0004570846,0.00127177,0.00007240279,0.0001980875,0.0004354321,0.003680675,0.9816852,0.00003463157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004169363,0.9989668,0.0001046407,0.0003289823,0.0002506157,0.000002802908,0.00001491877,0.000006772881,0.0002827164],"genre_scores_gemma":[0.0005425314,0.9979943,0.0001833937,0.0004340204,0.0004855051,0.000004036387,0.00003029271,0.000001508709,0.0003243604],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002893677,"threshold_uncertainty_score":0.009680331,"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."}}