{"id":"W4391399683","doi":"10.1007/s00011-023-01848-3","title":"Identification of inflammatory biomarkers in IgA nephropathy using the NanoString technology: a validation study in Caucasians","year":2024,"lang":"en","type":"article","venue":"Inflammation Research","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire en santé mentale de Montréal; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Canadian Institutes of Health Research","keywords":"Glomerulonephritis; Medicine; Nephropathy; Biopsy; Immunology; Immune system; Kidney disease; Nephrology; Anti-neutrophil cytoplasmic antibody; Gene expression; Immunofluorescence; Kidney; Antibody; Pathology; Internal medicine; Disease; Gene; Vasculitis; 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":[0.002864497,0.00009006348,0.0001549344,0.002114393,0.00008034119,0.00008000967,0.000125987,0.00009203734,0.00001164978],"category_scores_gemma":[0.0006215649,0.00006940409,0.00004378368,0.002907596,0.0001723793,0.0002343255,0.00007536635,0.0003645302,0.00001776209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451043,"about_ca_system_score_gemma":0.0003249288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002183718,"about_ca_topic_score_gemma":0.000156101,"domain_scores_codex":[0.9979381,0.0003069394,0.0006402372,0.000244934,0.000638732,0.0002310906],"domain_scores_gemma":[0.9991552,0.0001601611,0.00007335062,0.0003282192,0.0002473944,0.00003567988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002356078,0.0001893169,0.354976,0.0009009776,0.00008787736,0.0003911846,0.004695947,0.000694887,0.6137081,0.0009776634,0.00003760812,0.02310481],"study_design_scores_gemma":[0.001671252,0.0003121936,0.7330036,0.002289265,0.00007558095,0.00004724474,0.0342301,0.05409646,0.1720255,0.001769896,0.0002594329,0.0002195308],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960815,0.0008450814,0.00007192887,0.001373001,0.00007267952,0.001401643,0.000003711086,0.00005503708,0.00009537618],"genre_scores_gemma":[0.9996526,0.00008717199,0.00002245137,0.00000206502,0.00004884435,0.0001328201,0.000007880305,0.00001458869,0.0000315291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4416826,"threshold_uncertainty_score":0.2830217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05273482192022217,"score_gpt":0.398751258637037,"score_spread":0.3460164367168148,"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."}}