{"id":"W2936545636","doi":"10.3389/fimmu.2019.00745","title":"Anti-NT5c1A Autoantibodies as Biomarkers in Inclusion Body Myositis","year":2019,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre; University of Calgary","funders":"Cumming School of Medicine, University of Calgary","keywords":"IIf; Autoantibody; Medicine; Serology; Immunoassay; Antibody; Biomarker; Internal medicine; Myositis; Inclusion body myositis; Immunology; Chemiluminescent immunoassay; Myopathy; Gastroenterology; Pathology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003174259,0.000237882,0.0007399413,0.0008260364,0.0001117802,0.0000145497,0.0002082778,0.0003611168,0.0002295341],"category_scores_gemma":[0.00007080177,0.0002362129,0.0001069505,0.000410555,0.0002106898,0.0001721912,0.0004899568,0.0004332846,0.000261275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002720224,"about_ca_system_score_gemma":0.0001473059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000406111,"about_ca_topic_score_gemma":0.00001853598,"domain_scores_codex":[0.9981732,0.000146408,0.0005154794,0.0003993502,0.0001993875,0.0005662149],"domain_scores_gemma":[0.9992715,0.00004150316,0.0001149901,0.0004676363,0.00004941845,0.00005495019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008899794,0.0001601777,0.9433293,0.0001523487,0.0002538354,0.001380647,0.002214238,0.000008744426,0.03294101,0.0009177836,0.008595051,0.009156855],"study_design_scores_gemma":[0.006581531,0.0005535032,0.9104587,0.0006142671,0.00004344379,0.0006747064,0.002360111,0.001215399,0.007597188,0.001536091,0.06787562,0.0004893869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779402,0.00758774,0.0001088859,0.001261316,0.002892195,0.0005680865,0.000005567964,0.00008726916,0.009548726],"genre_scores_gemma":[0.9950407,0.001590716,0.001809324,0.000756343,0.0000462762,0.00002158868,0.00005009098,0.00003646164,0.0006485069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05928057,"threshold_uncertainty_score":0.9632482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003232223366817841,"score_gpt":0.2282341304162929,"score_spread":0.225001907049475,"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."}}