{"id":"W2951791046","doi":"10.1186/s12014-019-9246-0","title":"A proteome-wide immuno-mass spectrometric identification of serum autoantibodies","year":2019,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Liver Diseases and Immunity","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University Health Network; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Autoantibody; Proteomics; Antibody; Antigen; Proteome; Molecular biology; Biology; Immunology; Chemistry; Biochemistry","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":[0.0006619841,0.0009365536,0.000556739,0.002060004,0.0003979934,0.0005315525,0.0006372739,0.0009841472,0.0008950598],"category_scores_gemma":[0.0005566892,0.0002844005,0.0005078379,0.000894885,0.0002296847,0.0003100918,0.0006179149,0.0007443169,0.0008590148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003481576,"about_ca_system_score_gemma":0.0003559171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003167644,"about_ca_topic_score_gemma":0.0005365729,"domain_scores_codex":[0.999136,0.000126997,0.00005983372,0.000262255,0.0003561762,0.00005877314],"domain_scores_gemma":[0.9997172,0.00004086741,0.0000612459,0.00002641988,0.0001090763,0.0000452091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001129974,0.00006825879,0.001907075,0.00009878612,0.00004120458,0.0001025697,0.00001723018,0.0000787241,0.9908893,0.00006847069,0.0003199291,0.006295382],"study_design_scores_gemma":[0.00006124203,0.0005116875,0.04097164,0.00003616028,0.0001156803,0.003472635,0.00007089784,0.01085805,0.9366053,0.0003517685,0.006896493,0.00004835569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7680102,0.009313071,0.2067684,0.001227141,0.0004962979,0.0007021289,0.006261456,0.002172921,0.005048436],"genre_scores_gemma":[0.7380105,0.003541889,0.2452044,0.001173307,0.0002078001,0.0006733899,0.006550124,0.0001376256,0.004500978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002060004,"threshold_uncertainty_score":0.003500938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532351644130517,"score_gpt":0.3363626231981067,"score_spread":0.3110391067568016,"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."}}