{"id":"W3049668987","doi":"10.1515/cclm-2020-0981","title":"Establishment of international autoantibody reference standards for the detection of autoantibodies directed against PML bodies, GW bodies, and NuMA protein","year":2020,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Dental and Craniofacial Research; Canadian Institutes of Health Research; National Institutes of Health; University of Occupational and Environmental Health; University of Florida; Thermo Fisher Scientific; Japan Society for the Promotion of Science; Bio-Rad Laboratories","keywords":"Autoantibody; Antibody; Immunofluorescence; Molecular biology; Immunoassay; Anti-nuclear antibody; Western blot; Staining; Immunoprecipitation; Antigen; Immunohistochemistry; Chemistry; Biology; Pathology; Immunology; Medicine; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03619877,0.002464874,0.001372017,0.01101911,0.002151556,0.002540505,0.004956711,0.003675995,0.002925693],"category_scores_gemma":[0.02393031,0.0007200752,0.001570079,0.004933873,0.001997006,0.001968382,0.003043333,0.002732307,0.003299926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002117489,"about_ca_system_score_gemma":0.003586899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002211179,"about_ca_topic_score_gemma":0.002357252,"domain_scores_codex":[0.9687923,0.009905073,0.004257861,0.002674129,0.01329386,0.001076855],"domain_scores_gemma":[0.9632469,0.004876927,0.004218985,0.007066582,0.01953865,0.001051873],"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":[0.0009652638,0.002113926,0.06056465,0.002227592,0.0003002302,0.0004838008,0.0009912063,0.003142445,0.6679143,0.01183543,0.01552524,0.2339359],"study_design_scores_gemma":[0.0002647332,0.003607946,0.09734371,0.001879679,0.0007138577,0.002569534,0.001109988,0.009365646,0.7147059,0.005264924,0.163004,0.0001700604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2249704,0.01993118,0.6898751,0.002159653,0.001996434,0.004406661,0.007323169,0.004589718,0.04474771],"genre_scores_gemma":[0.3317444,0.005339168,0.6089416,0.001744662,0.0005751021,0.005981385,0.03601433,0.000741103,0.008918282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03619877,"threshold_uncertainty_score":0.1914396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05465108885706278,"score_gpt":0.3785792651301667,"score_spread":0.3239281762731039,"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."}}