{"id":"W4210662356","doi":"10.4155/bio-2021-0259","title":"Lysosphingolipid Urine Screening Test using Mass Spectrometry for the Early Detection of Lysosomal Storage Disorders","year":2022,"lang":"en","type":"article","venue":"Bioanalysis","topic":"Lysosomal Storage Disorders Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; Université de Sherbrooke; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Sanofi Genzyme","keywords":"Urine; Chromatography; Mass spectrometry; Urinary system; Sphingolipid; Chemistry; High-performance liquid chromatography; Solid phase extraction; Liquid chromatography–mass spectrometry; Medicine; Internal medicine; 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":[0.0007834056,0.0007601482,0.0004963095,0.002049702,0.0003859719,0.0005036019,0.000362708,0.0007603829,0.0007300259],"category_scores_gemma":[0.0009790811,0.0002216724,0.0003142635,0.000631609,0.0002992075,0.000295216,0.0003708721,0.0004632039,0.0002626049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637181,"about_ca_system_score_gemma":0.0005046814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006231807,"about_ca_topic_score_gemma":0.001102477,"domain_scores_codex":[0.9994167,0.000155472,0.00005715254,0.0001110838,0.0002203358,0.00003927606],"domain_scores_gemma":[0.9995944,0.000101964,0.00008028013,0.00001701364,0.0001398486,0.0000663924],"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":[0.003421124,0.0009611204,0.3338284,0.0006801437,0.0004738099,0.004360422,0.0002171416,0.0007986496,0.5531062,0.0005384712,0.002484813,0.09912966],"study_design_scores_gemma":[0.0002656977,0.004273831,0.3880291,0.0003195838,0.001063698,0.0232805,0.0004147476,0.02135137,0.5515556,0.001046179,0.008255213,0.0001444697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582098,0.0188699,0.01791723,0.0006141704,0.000189652,0.0002523203,0.0008333068,0.0005099847,0.002603751],"genre_scores_gemma":[0.9798912,0.002252632,0.016298,0.0003337564,0.00006040965,0.00007300526,0.0002864949,0.00001520495,0.0007891613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002049702,"threshold_uncertainty_score":0.004143059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429371462643507,"score_gpt":0.2857408173272291,"score_spread":0.261447102700794,"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."}}