{"id":"W2620924231","doi":"10.3899/jrheum.161095","title":"High Accuracy and Significant Savings Using Tag-SNP Genotyping to Determine<i>HLA-B*27</i>Status","year":2017,"lang":"en","type":"letter","venue":"The Journal of Rheumatology","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Faculty of Medicine, Memorial University of Newfoundland; Memorial University of Newfoundland","keywords":"Medicine; Locus (genetics); Sacroiliitis; Genotyping; Single-nucleotide polymorphism; SNP; Human leukocyte antigen; Genome-wide association study; Internal medicine; Genetics; Genotype; Disease; Immunology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01427846,0.0006092065,0.0008698236,0.000881962,0.0005054768,0.001995448,0.001823129,0.002915294,0.004800752],"category_scores_gemma":[0.07630742,0.0004633556,0.0004897565,0.0006204436,0.0008698029,0.001067596,0.000422641,0.002987207,0.002270768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070062,"about_ca_system_score_gemma":0.0005890055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237687,"about_ca_topic_score_gemma":0.002060713,"domain_scores_codex":[0.9897661,0.005622777,0.0008124547,0.001198095,0.002302841,0.0002977934],"domain_scores_gemma":[0.9126959,0.06176616,0.003781509,0.003428463,0.01698586,0.001342106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.005741975,0.000481787,0.09299379,0.000965461,0.000700466,0.003360041,0.0003152509,0.001473461,0.008035108,0.002750282,0.4997727,0.3834097],"study_design_scores_gemma":[0.00178478,0.004021012,0.2154045,0.002072905,0.003226172,0.02517521,0.001104717,0.0902054,0.03358091,0.01933026,0.6034073,0.0006867732],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.175586,0.03518239,0.04386463,0.5090501,0.218658,0.0003132441,0.002201753,0.001106308,0.01403753],"genre_scores_gemma":[0.6000032,0.01286899,0.04961392,0.1296992,0.1905918,0.0002240878,0.0009317119,0.0006545186,0.01541245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01427846,"threshold_uncertainty_score":0.07551259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04057444660226565,"score_gpt":0.3013009081374897,"score_spread":0.260726461535224,"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."}}