{"id":"W2084773532","doi":"10.1093/ndtplus/sfn009","title":"Implementation of high-throughput screening for Fabry disease in Toronto dialysis patients","year":2008,"lang":"en","type":"article","venue":"Clinical Kidney Journal","topic":"Lysosomal Storage Disorders Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Western Hospital; University Health Network","funders":"National Institutes of Health","keywords":"Medicine; Fabry disease; Dialysis; Throughput; High-throughput screening; Intensive care medicine; Internal medicine; Disease; Bioinformatics; Computer science; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00108712,0.0003213192,0.0003026279,0.000447224,0.001120055,0.0007590688,0.000676952,0.0004293468,0.002270486],"category_scores_gemma":[0.002508016,0.0001792673,0.000286859,0.0005209384,0.0003666532,0.0002278253,0.0009132922,0.0004405307,0.0004193134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003961912,"about_ca_system_score_gemma":0.004435304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1635353,"about_ca_topic_score_gemma":0.158714,"domain_scores_codex":[0.9987728,0.0003743924,0.00007801122,0.000159074,0.000419632,0.000196201],"domain_scores_gemma":[0.9978971,0.0003730241,0.0002485091,0.0001274115,0.0005961293,0.000757752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002523156,0.00199159,0.844691,0.0003336465,0.00009680042,0.004316461,0.003831192,0.001577319,0.04936167,0.0004257672,0.00696569,0.08388582],"study_design_scores_gemma":[0.0002641889,0.004891808,0.968939,0.00008829923,0.00009829751,0.001515801,0.001558167,0.003091665,0.009156998,0.00007877146,0.01026228,0.00005473038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880652,0.0006281155,0.002994792,0.0008399333,0.00004757641,0.00125811,0.0008550802,0.0002146641,0.005096647],"genre_scores_gemma":[0.9910363,0.0003307391,0.006373403,0.0005294049,0.00003684708,0.0003088987,0.0005208924,0.00001225969,0.0008512471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8364648,"threshold_uncertainty_score":0.3251667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07766030703015324,"score_gpt":0.4435332993612964,"score_spread":0.3658729923311431,"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."}}